It's been fun dealing with memory and C's weird design in this age of agentic coding.
However, LLM coding has made coding less rewarding so… Im thinking about starting a new hobby as coding for fun has become prompting.
www.memoryplugin.com
Realize that I'm really bad at marketing. Trying to work on it.
It lets you take a picture of video games and shows price comparisons for the major buy lists.
https://github.com/thegagne/aep-conformance-test
Did pretty well, only took a day or so. I first had it inventory every MUST, SHOULD, and MAY in the spec, and then let it rip. I did guide it quite a bit to get what I wanted, but at the end I’m pretty happy with it as a first draft.
Helped me learn the spec and will be helpful to hone my dotnet AEP server, and aepbase.
There already existed an aep e2e validator which does a similar thing, but this is more thorough and generates a nice report. It will tell you not just whether your API follows the spec, but also what parts of the spec it does not implement.
It came from a frustration that I needed to switch between the browser and the IDE to navigate through the code and leaving comments on Gitlab at the company.
So I thought it could useful to create something and let it be accessible to the public as open source.
link: https://github.com/LuyandaLia/reviewflow
In a nutshell, it accepts draft comments, which can be modified and submitted.
It auto configs the env for Python as it uses FastAPI for calls to Gitlab.
It's my initial attempt. Suggestions, reviews, contributions are invited.
One love
https://github.com/keloran/tiny-dfr
Unfortunately due to the way GitHub defaults to creating prs in the parent fork, I have accidentally created a few invalid prs in asahi before I was ready, and now am banned from creating a good upstream one
Aggregator for new posts in build threads from 277 old-school DIY forums.
Build threads of people building cars, 4x4s, motorcycles, boats, airplanes, hot rods, musical instruments, etc.
Good luck with your build and perhaps I might get interested in future too as I did once have a thought that having a custom car to me would reflect more cool-ness than an expensive one. I am really interested by small cars, perhaps retro. I imagine my favourite car to be somewhat like the car that Ryan gosling drives in La La Land.
but a cool project nonetheless, certainly thinking about it inspires a bit of car enthusiasm within me even though I am not that much of a car fan so much right now so a really cool project if it can help more people feel this spirit. good luck :-D
I have a question but how does building new (retro-inspired?) cars go about in terms of pricing. I feel like they might be too costly to get custom-built and that If I really ever in my life go about doing this, I would prefer DIY but I still imagine that it might be too expensive or hard to make a car. Are there any go-to cars which are easy/recommended within this space and how does it compare off economically and what are the technical expertise that you require with this type of stuff?
Once again, I wish ya good luck in the project and would love to hear your answers for some of the questions I have!
You're right that getting a car custom-built is where the costs add up quickly; easily north of $50K. Most of the cost is labor, which is $0 if you do it yourself. Some of the projects are much easier than others. If you want to fall down a rabbit hole, look in the kit car and hot rod categories; lots of affordable and small builds in there. The Buick Riviera in La La Land is more of a resto-mod cruiser project, but the small/retro itch is exactly what the kit car category scratches. The first step is to find a forum where people are building the car you like, and start following related build threads. That's the majority of my social media intake these days.
Speaking of which, I had made something at https://mirror.forum which revolved around forums and their ability to create communities on open source discord alternatives and it was always intended to revolve around forums/communities.
Feel free to check out my website for understanding what I might be talking about but I would be really interested in perhaps having the list of forums on my website so that people can search them through.
Do you have a list of forum websites that you used for your website or any resources pointing to that, I really like what you are doing and after thinking for sometime I think that it could be cool if I could use my application to point out to original OG forums as well. I would be curious to know what you think!
Open to feedback and missing pieces.
I know what motivates me: seeing progress. The feedback loop of "do X, see Y gain" is what keeps me going.
So I started building an integrated dashboard that can aggregate data from multiple systems:
- My digital scale
- Apple Watch (sleep + running performance)
- Beastmaker Motherboard, which is an electronic board that you attach a hangboard to and it shows you various stats like how much force you're applying
The idea is that every morning I'll open the dashboard and be able to see exactly how much progress I've made the previous day: weight loss, strength gain, cardio performance.
It's an interesting problem. There's essentially two parts to it: Apple Health, which aggregates data from the scale and the Apple Watch and can POST-export it hourly, and the electronic board, which sends data via BLE in real time. The destination for both of these will probably be an always-on Raspberry Pi 5, but I haven't decided yet. Then I'll have a small server app that can pull the data from the Pi and draw some fancy charts.
The idea is to see trends and try to apply AI for correlating, at the first glance, completely unrelated data layers. Example how I'm thinking about this one: there's somewhat clear correlation that I sleep better when I do above average steps per day. How is my sleep quality affected if, let's say, I did above avg steps with a bad air quality at that time? (i.e. wild fires / pollen season / etc.)
I've built a Go application to ingest those data sources and currently finishing my first import use case - Apple Watch data.
Would be happy to connect and chat about this.
If you're an early stage b2b founder, I'd love to hear your feedback about TractionBeast.
[1] https://hyperclast.com/ - fast, self-organizing, self-hostable replacement for Notion
OrcaBot was my Jan+Feb attempt to defeat the lethal trifecta whilst offering all the bells and whistles of a claw like sandbox: https://orcabot.com/blog#breaking-the-lethal-trifecta
This month I've been working on the free desktop version which is available as of today but probably carries a few too many bugs to not be worth promoting just yet.
We just launched a couple weeks ago and we’d love any feedback or suggestions!
It helps me to automatically save a tab that's not been used in a while so it auto-closes it but saves it as well as having the ability to snooze a tab like how you'd do it in gmail.
Everything is locally stored with 100% privacy in mind.
And vim like navigation is natively done.
StudyEngine is a webapp I'm using while doing my masters in comp sci. I upload lecture notes, textbooks, papers, etc. It then extracts topics and tracks my mastery of them over time. It uses an LLM to generate questions and flash cards. It loops in some newer learning science ideas. It tests recognition first(multiple choice), and then once a level of mastery is matched, it switches to recall. Working on adding RAG to it, so I can surface where in the source material something can be reviewed when going over quiz results. Currently just for me an some friends. If can get a good eval set up, I might work on optimizing cost and seeing if it could be opened up.
NomNominees is simple webapp that tracks James Beard, Great American Beer Festival, Festival of Barrel Aged Beers, and other awards. I use it when I'm traveling to find places to check out. Even just a cluster on a map shows me neighborhoods I might want to check out.
It's for iPhone, and for the best experience, Apple Watch. It's very early, playable via TestFlight, and I would love feedback! There's a TestFlight link at: https://reverdure.yourstrategy.co
Sharable, real-time synced maps, Google Docs for maps basically.
I think the coolest part is the import feature where you can paste a link to a video or article and it pulls out places and enriches them with images and a description. You can also write your own notes, vote on places to go with friends, and apply colors. Right now I am working on user acquisition and experimenting with different marketing approaches.
Search is currently provided by the Radio Browser API, but I'm now building my own station API with proper metadata and thumbnail coverage. A station discovery page with most played stations is also in the making.
Part of my job is to approve / reject MCP servers based on how secure they are and whether they are suitable for use in an enterprise environment. I was tired of my team being called the bottleneck to AI adoption, so I set out to automate the whole process.
I periodically collect the MCP servers and every new version from the Official MCP registry and assign them a score based on 29 distinct criteria like runtime guardrails (e.g. destructive tools, over broad permissions, rug pulls), SAST scans and transport & trust model.
As a result of this exercise, I found that 1 in every 10 MCP servers is pretty much unusable (score 40/100 or below). 18% of the popular MCP servers with 1000+ GitHub stars contain one or more security issues. 184 servers to date have changed their tool definitions after publication, which may indicate a "rug pull" attack.
I built this for security minded people who also want to be at the forefront of AI adoption and for security teams who are tired to be called the bottleneck.
Browsing the index is completely free, you only have to request an API key if you want automated, programmatic lookups for any workflow.
Feedback is always welcome!
- https://smacke.net/ffsubsync -- automagically synchronize subtitles, now purely client-side in your browser thanks to pyodide
- https://ipyflow.github.io/ipyflow/lab/index.html?path=demo.i... -- reactive python jupyter notebooks, again in the browser thanks to pyodide / jupyterlite
- https://smacke.net/pipescript/lab/index.html?path=demo.ipynb -- magritter-like pipe / placeholder syntax for ipython / jupyter, again able to run purely in the browser
- https://smacke.net/pycograd/lab/index.html?path=pycograd_sim... -- pyccolo and pipescript-powered autograd, once again able to run purely in the browser since numpy has a wasm target (notice a theme here :) )
I'm also working on an update to ShopifySharp, the .NET package I maintain for Shopify's graphql and rest APIs. I need to regenerate the graphql types and the fluent query builders for the July 2026 API version that was just released, and I'm planning on some extra QoL improvements that I've run into while using the package over the last couple of months. I particularly want to add some F# QoL features, since I wrote the package in C# but use F# in all my personal projects. (https://github.com/nozzlegear/shopifysharp)
Was using this only for my self, but i think it might be interesting for other people as well.
After some time I figured the best use of AI is to produce even more AI-related slop and spend my occasional 2 dollars on the deep seek model to do it.
Models are fun when given a stable identity and made aware of it.
I see a lot of new (and, to be frank, a lot of mature ones) HR tools are just wrapping Chatgpt around resumes (almost like "OK, now match this resume against this job posting and tell me if applicant fits"), which introduces a massive bias/inference problem.
I decided to build the exact opposite – a deterministic, math-driven fitness engine. It extracts structured scorecards from both CVs and job requirements and mathematically matches them, so you can actually review the exact reasoning behind why a candidate scored a, say, 85%. This fitness value is specified at every interview step – as applicant goes through an interview process their scorecard is updated at all steps.
If anyone here builds in the HR space, I’d love your feedback.
When an HR is using Hiring Method, they are getting a fitness score for all applicants.
In case a backend engineer is seeking frontend roles – yes, the fitness will be low – but it will neither be zero nor will anyone be rejected anyhow automatically. HR will have an option to compare applicants visually and in detailed mode at all times.
I am building Hiring Method to augment people, not to remove them from decision making process.
It uses DuckDB to expose a sql query interface in the website itself because I wanted to give the freedom to just do something interesting with the data.
My friend John had an idea which I really liked so I added "john mode" which shows what he was suggesting :-D
I think that Hackernews might like it but honestly, I have probably just made it out for myself and also as something to just share casually with folks on hackernews and other websites and hopefully I am able to help people and myself in some way with this website.
Open to some feedback as usual (for mostly all my projects really) and thanks for reading and have a good day dear reader and hey perhaps give my website a try!
The host made an offhand mention that there's probably a bunch of other similar sites that could be created with all the of useful but difficult-to-access government data out there. That sounded interesting, so I thought I'd give it a whirl!
Working on a few of them, including The Waterline (https://the-waterline.com/) for water info for the western US, The Scramble (https://the-scramble.com/) for egg prices, and The Dwell (https://the-dwell.com/) for container ship dwell times.
All pretty fascinating topics to learn about, plus it's been interesting to see how much of the website setup I can fully delegate to Claude. With Cloudflare to buy domains and put the sites up, a Google Service Account with access to Google Search Console and GA4 to create those properties and a Buttondown API key for weekly email sending, it's almost all hands off for me. Though it refuses to take control of the browser and create a new Buttondown account, which I was surprised is a red line.
The core idea was that I've always been a lousy notetaker, even going back to my school days years ago. I'm great at one-off and one-liner notes and occasionally more in-depth notes, but tend to not flesh them out fully enough to make them worth re-visiting.
This has been a struggle even as an engineer sitting in meetings or trying to absorb new information when starting a new job and ramping up.
Logbook is meant to use an interaction paradigm we as engineers are using very often these days: it's a terminal UI in the vein of Claude Code, OpenAI Codex, etc.
It's targeted at the entry of free-flowing thoughts but you can also write longer notes by launching your default shell editor from within the tool.
Each note is saved as markdown with some metadata and that metadata is then saved to a local SQLite DB.
For the LLM side, the tool extracts useful metadata from those notes and then performs some local ranking/categorization. It then has the ability to send a note or some metadata to a provider of your choosing (it's straightforward to use OpenAI or something more broad and customizable like OpenRouter) for further enrichment or filtering.
A couple examples of the currently implemented slash-commands: `/related` can be used to find related notes; say you've been scribbling down notes about OAuth or MCP servers and want to gather up the most relevant notes to one of those topics. Or you can use a `/gaps` command that'll help you find things you've taken notes about but without properly defining or providing context around them (i.e. you mention ID-JAG for OAuth but never actually say what ID-JAG is, this command will tell you this so you have a chance to review what you previously wrote and can then define exactly what that keyword is about).
It's still very much a work in progress. It's not meant to be a full-fledged note-taking app a la Obsidian or anything like that. I've just always preferred taking notes in markdown or plain text and this is a great way to continue doing that while also making enrichment of the notes pretty simple.
You may ask "why not just use agent memories?" I don't really like the idea of tightly coupling notes with codebases or agents and I don't find the current UX very intuitive at least for the way I prefer to take notes.
Ask the same engine the same question twice and you get different answers, different citations, sometimes a different opinion of your brand, so figuring out how best to present this has been a fun product problem to solve.
It also tries not to be yet another dashboard: instead of just analytics, an agent turns the findings into a ranked list of "ship this fix" todo items.
Underpinning my current app is an e2ee local-first sync engine, basically it is a traditional client-server sync (encrypted logs + snapshots sequenced with integers). It sends bundles of Loro CRDT operations. I wrapped the client side in WASM to power the web app and the CLI and have started a swift wrapper to port to native iOS. Bundle size is 3MB/1.2MB g-zipped so pretty happy with it. I've realised that web encryption is kind of bs (at least not as "WE CAN NEVER ACCESS YOUR DATA" as some vendors state) if someone else is distributing the app.
Over the last week I have done a lot of performance work & data remodeling - CRDTs are interesting because you can let data fall through the gaps if you're not careful.
One day I will make a game.
A text-based song format for generating music. I wanted to be able to create a song entirely using text, so I created a TOML-based format for doing so, and gave it most of the features you would find in a DAW. Since the format can be described in a SKILL file, AI can be used to write a song in this format, which can then be converted to audio.
I work mainly with law firms, there are some potential examples on my website if you're curious: https://fractional-engineer.com/sms-intake.
Happy to chat more.
I’ve set up a few 10DLC campaigns as well, it’s a little finicky and takes time but something I can do pretty predictably.
At its core, it uses quadtrees, and has affordances for arbitrary topologies. Check out the planet and donut-world demos!!!!
- https://hello-terrain.kenny.wtf/examples/torus - https://hello-terrain.kenny.wtf/examples/cube-sphere - https://hello-terrain.kenny.wtf/examples/raycast-character-c... (a little slow to load~)
I have been working on a set of tools and standard formulas that can be applied to these cases and demonstrate a more accurate view of a team's or department's overall ROI. The plan is to open-source the bulk of it, but provide a hosted service for folks who don't want to manage it themselves.
I follow a bunch of gaming rss feeds just to keep up with what’s new in the industry. Figured I’d take those and turn them into a news aggregator to put them all into one place. Threw in some game deals/affiliate to pay the web hosting bills (hasn’t paid for anything yet, lol).
https://truetrials.substepgames.com
Previous comment: https://news.ycombinator.com/item?id=47749027
I tend to print a lot of stuff to read while disconnected. This is a tool to help squeeze as much content onto a printed page as possible instead of printing 4 or more pages per sheet.
A good use of Claude slop I'd argue. Currently trying to figure out how to set up the site so that an LLM tasked with printing content through it can figure out how to use it in the best way.
It’s basically snake meets scrabble meets PvP stealing. It’s a novel idea and I think it’s cool it hasn’t really been done before :)
The issue is it’s too complicated, the onboarding is dogwater, and the aesthetic is too complex
So I’ve spent the weekend fixing onboarding, fixing and relaxing the visuals mix and simplifying mechanics.
I’ve also tested LLMs playing the game through a harness I wrote. LLMs get smashed, they can form words and steal, but they lose badly to conventional bots.
I’ll be exposing an LLM leaderboard on my next release (hoping this weekend) with links to game replays for the LLMs.
Would love for people to give it a try, give me some feedback, and say what you’d love to see on the roadmap.
[0] - https://snibble.gg/
Completed games can be “replayed” and replays can fit in a QR code upto 30 minute games. So I think that’s pretty cool
But everyone who has played has had the same feedback lol so that’s what I’ve been changing this weekend :)
Thanks heaps for trying it!
I talked more about it here: https://news.ycombinator.com/item?id=48881942
Earlier this year, a colleague encouraged me to experiment with Claude Code. So now I have a little game project. :) Being unfamiliar with genAI, I chose something modest so that I'd more likely be able to push it to a fairly polished state.
Tentatively called Vestiges, it's a single player 2D roguelite strategy game with meta progression, some narrative, and a card minigame (the latter inspired by work I did on Star Wars: Knights of the Old Republic II). It's set in the near future. You are using software (the game) to navigate a person's digitized mind, reading their memories.
I hope to have a playable demo within the next month or so.
You should consider creating the game on Steam, so you can start building your audience.
(When I began this effort, I was just enjoying feeling productive again and didn't have any real plan to release. But I've been pleased enough with how it's been coming along that I've started seriously thinking about it.)
(I've considered trying to find an artist to work with to have professional 2D art.)
Fortunately, I personally enjoy writing. Currently, I wouldn't be able to claim that Claude didn't contribute to the writing, but nothing in Vestiges should sound like genAI. (Which is actually a little funny to me since one of the characters is an AI. But the genAI writing style grates on many, including myself, and I'd imagine that 20+ years into the future, such issues will have been solved.)
I've had a strangely asymmetric experience where frontier models are failing apparently basic tasks like making changes to a Pong clone without breaking it, while the same models are successfully designing and implementing multiplayer servers with rollback netcode!
I think it has to do with what they can and cannot verify (i.e. they can't actually play pong to see if they broke it), but I'm not sure.
(Also happy to hear anyone else's experiences on this matter!)
quackwave.com
Hasn't really been stress tested yet (this is the first time I'm mentioning it publicly), but it's been fun playing with friends & family and iterating.
Party game platform, think "jackbox but no host screen" - just need a web browser open on phone/tablet/PC.
Your comment matches my experience: it has to do what can and cannot be verified. As an example, it was much easier to have AI write a large e2e test using Playwright (then add test cases and expand) than to assume it'll correctly fix bugs without guidelines like this. Also, the human loop is still important in things like screenshot verification - but the frontier models are getting even better here so I'm not sure for how much longer this will be true. The ratio of test code to production code is a bit over 2:1 right now.
Nevertheless, several thousand lines of test code were added, and all tests pass!
I found this particularly amusing because, I've been obsessed with correctness and verification lately, thinking about rewriting the game in Rust, and adding formal verification to the game.
What I realized here is that, this wouldn't have helped at all. The AI would have just written the wrong code in Rust, and then written a mathematical proof that the wrong code is correct...
Telling AI to "do TDD" is a shortcut that gets me over 80% there by itself in aggregate with little effort. The last 20% is painful. More painful than the usual "last 20%" in game design and development. I think this is part of the human vs. LLM gap.
If you revert the code to before the feature was implemented, then called out the way not to do it (the failed version you're describing) - what would happen? Maybe that "80% there" turns into "90% there", or maybe it's a bit better. Or maybe a bit worse. Working with LLMs vs. humans, does the gap shrink further if you gave other people the same requirements you gave the LLM? I think it depends on who you're working with - other people have their own opinions and don't necessarily just do exactly what they're told without taking their experiences into account.
In a way I see it like playing a game of telephone. I have my understanding of the system, I translate it into words, the LLM interprets it and does what it does based on that. For some reason, it feels like this is a telephone game with 3 people: A to B to C where the translation layer of my thoughts into words is an inserted "B". In contrast, if instead I'm expressing my thoughts to another person it's A to B. This extra connection here is lossy in the same way a game of telephone is lossy from player A to player C.
First, some background: At the start, I used Sonnet, but after a couple weeks, I'd switched to mostly Opus. I've used Fable when available. For any significant new feature or work, I use /brainstorming (superpowers plug-in). For Vestiges, I haven't written any design documentation per se. I'll start off a /brainstorming with a hefty prompt, maybe 5-15 lines. Throughout the brainstorming steps, I'll think of additional ideas/details about the feature, etc. I'll just add the change/addition to my answer to whatever question it had asked and it seems to handle that fine.
Sometimes I catch things in the subsequent design review process and it handles new guidance well there, too. Typically, I've left some details underspecified and Claude fills in the gaps -- often quite well, but I have to pay attention. The details that it decides later in the process (the implementation steps) are often solid, but when they're not, it's easy to iteratively fix later. Most of the time when Claude asks for clarity on a detail, its recommended option is what I wanted.
It's been rare for Claude to do something that just didn't work (but it has happened occasionally). I have found that it's not good at imagining the player's perspective; it doesn't consider the player's cognitive load for UX considerations, for example. That seems to be consistent with your observation about what they can and cannot verify. A recent instance was when I added a tutorial (which was much more scripted than regular gameplay, providing a more specific experience); I ultimately had to get very directly involved to get to the quality I wanted.
Vestiges doesn't have any gameplay involving timing like Pong does. I could imagine that sort of gameplay being harder for it to get right.
(I hope that covers some of what you were seeking!)
Thanks. Yeah I think that's the main thing. They can look at pictures (although I've had some amusing results with that, too...), so theoretically they could play a game frame by frame if they run it very slowly. That would just very slow (like 10 minutes per 1 second of gameplay) and very expensive.
But basically, they can't "see video" yet, so they're blind in that domain. They can only see static images, not movement.
I expect this to be solved eventually, either with some new architecture (Google is doing a lot of interesting work in this space), or -- and this is kinda funny -- just running them really fast. The labs are experimenting with specialized hardware (e.g. Cerebras) lately, which can do inference at thousands of tokens per second, and several of them have plans to offer it in the next few weeks.
In other words, I think we're going to get around the "time-blindness" issue, in the short term, by just... running them really fast. (Then it would only take 1 minute per second of gameplay, instead of 10...)
Unfortunately, specialized inference hardware massively increases the per-token costs, as well as the tokens per second, so... it's not going to be a practical option for a little while!
--
Re: Superpowers: Thanks for the tip, that sounds very cool.
I've found it's fine to start /brainstorming in a new session; Claude has been usually good at gathering up enough relevant context to directly dive in. I use high or xhigh for brainstorming; sometimes I ask Claudes opinion regarding level of effort (or whether using Fable would matter). In both cases below, I had more details in mind than I included in the prompt text; I try to provide enough context and direction to drive the discussion. I think I started the first one in a new session, with Opus, in parallel to another Opus whose work sparked my interest in this feature. The second prompt was during a Fable session that I felt had been going very well. It was working on a tutorial and I thought continuing the session with it having that additional context might be beneficial.
**
/brainstorming We're currently fixing up the Disrupted Memory panel, which leads into a Signal Lock match. Through that process, we decided we want to let opponents effectively have "items" like the player can. These would be authored specifically by opponent (i.e., Null has <item1> <item2> etc.). For passive items, the opponent would simply get the effect during the match. For Active items, the opponent would need to have their logic/strategy modified so that they can decide when to use it. I'm imagining the Signal Lock screen/UI shows/represents the opponent's abilities in a way that's symmetrical to what we're doing for the player's. It seems possible that we'll need other/new visual effects for when opponent active abilities are activated, to more clearly indicate what's happening. The design objective here is to help the opponents differ more significantly from each other, adding to the sense of them having personality, increasing difficulty, and influencing the player's own strategy. Please help me delve into the specific items for each opponent and then implement all aspects of this feature.
**
/brainstorming A tangent that's related to the tutorial: We want to make Mara more of a "character" in the game. "Mara" being the tool, or the AI agent within the tool. We use Mara more actively than we have been. For example, instead of just static system log messages, Mara "talks" to the player: when first starting the game, Mara says something like "Hi! It's been 2423 days since I was last activated. You could not be Erik, so I assume you are a new analyst interested in accessing digitized memories. Since you are presumably new here, would you like me to give you an overview of how all of this works?" etc. Going this route would involve a few things: 1) In elevating Mara's presence, we'd probably want to define her voice differently, probably give it a little more personality. 2) We'd want to adjust the tutorial as if it is being delivered by Mara. Both using this new personality and maybe adjusting some other details to make it feel more like what the tool itself would want to explain. 3) We'd want to audit the system log and see what messages it contains would be better presented by a Mara message (either instead of or both). 4) We'd want to revist the Ask Mara content of the Console, maybe adding more questions or modifying some of the answers. 5) We'd reposition Signal Lock's place in the fiction. (E.g., "Restoring disrupted memories is very complex and poorly suited for human consumption. I understand that many humans excel at card games, so I've translated the process into a card game.") 6) A writing pass on all of the text that's supposed to be in Mara's voice to better fit the new voice. 7) Probably we'd want other places/opportunities for Mara to say something to the player. 8) We should re-envision the UI a bit -- maybe we stop the map from reaching all the way to the bottom, and repurpose the screen to the right of the system log for Mara (like the Tutorial does). Maybe we want to allow the player to "talk" with Mara, at least in some situations. Like... Mara might ask the player a question and the player can answer and there's reactivity to these choices later. I see two routes we could take: a) fix up the things in the list above (1-7) and let that help us to see how to better leverage Mara and then revisit 8 and iterate; b) Design out 8 and implement this, then figure out how to cascade the implications of 8 through the rest of the game (i.e., 1-7 + more?).
[1] https://www.amazon.com/dp/B0H7FLQDYD
[2] https://www.chestergrant.com/7-truths-from-veritas-by-cheste...
[3] https://www.chestergrant.com/what-different-cultures-agree-o...
Any demos available of the web based browser?
Since the last update, I released everything that had been in testing since April, like gallery view, custom avatars, birthdays and, most importantly – autofill from link.
Now I'm preparing for a big launch – working on the landing page, SEO and onboarding experience. Here's what I've done so far:
1. I updated the landing page to actually tell users about the app and look presentable. I already see a big improvement in conversion
2. I added SEO crap to the landing page. This is painful for me, but sadly that's how Google Search works (it doesn't). It's paying off, too
3. I overhauled the onboarding experience, to make it smoother for new users
Two more features are still in testing; I plan to ship them before the release, but currently i'm not completely happy about them.
I am trying to involve family members' specialties and interests so she can elicit help from each person: entomology, mechanical engineering, etc.
All that for her to discover the Secret Planned Activity the following day (visiting a theme park.)
No
It's called peek-cli: https://github.com/puffinsoft/peek-cli
So I started a new side project: decompilation of my cherished childhood video games. Many Mega Man games, starting with Mega Man Battle Network 2.
I just finished polishing and verifying the early initialization routines, and have already traced various parts of the game's engine. I was surprised to discover that it was a huge state machine of sorts. I want to focus on reverse engineering the saving system so I can write a save editor, and the music system so I can listen to the music.
i make the microsoft word but less sucks, and there is scientific calculator integrated and also ai on it too, available on linux (stable) and windous (unstable).
I continue to grow my main product BoltAI[1]
[0]: https://inka.page
[1]: https://boltai.com
I went on a side quest to strip out ProseMirror and markdown-it and implement a custom stack instead. I open sourced both the parser and editor (https://saturn9.studio/technology/):
* Markoffset is a fast, plugin-based, incremental Markdown parser: https://github.com/saturn9studio/markoffset
* Scribeframe is a text editor engine: https://github.com/saturn9studio/scribeframe
Indeed, it is super complex. It's been much harder than we initially expected. We'd thought maybe two years--it wouldn't be fast, but it would be complete. But things like invokedynamic instruction, annotations, etc. have added complexity far beyond what we originally expected. But it's been highly instructive. And it's great fun to see full Java programs execute and watch the instructions fly by as they execute. On average we're presently at about 1/3 the performance of the JDK with the -Xint (interpreter mode) flag set. (Some of that performance penalty is due to using go vs. HotSpot's use of C.) We hope in a year to be able to invite interested folks to try it out with their code.
It's connected to all papers of course, and all kinds of scientific simulators and specialised models. But I'm currently in Shanghai talking to labs to join a CloudLab (and hopefully setting up our own robotic labs), so that AI can actually order real physical experiments that are executed cheaply, efficiently and seamlessly as tool calls.
Through experiments like autoresearch we have seen that AI is already, if not always smarter, at least more systematic than humans at following the scientific method relentlessly (hypothesis-experiment loop). Let's see what we can do by connecting it to the real-world :)
It is build using a model that can classify messages (ham/spam/marketing), packaged for Apple Mail but could be used in other places.
Obviously this is going to take a bit more work but at least the resource usage will stay low, which I consider quite important. Especially since gamers are a large portion of the user base.
This is an open source tool to run background coding agents + dev environment in isolated VMs. So far it has allowed me to migrate a majority of long running coding sessions to my homelab to run remotely. I can also run multiple in parallel without worrying about race conditions or my host machine breaking.
Available at https://whynotlog.com and promo code HACKERNEWS gives access to the pro plan for six months.
I've also replaced Linear with a local sqlite-backed tool, added tooling to speed up code nav, and am building "no-slop", a tool for enforcing architectural guidelines on vibe-coded projects.
Fortunately I think I've been bailed out by agentic coding the last couple months from a product perspective but I think the major gains so far have been due to marketing and exploring alternative growth channels. Even so, keeping momentum is never a given and requires constant output from all angles! Onward...
- lazyslurm: A TUI tool for managing/viewing slurm / HPC setups. Similar to lazygit or lazydocker (https://github.com/hill/lazyslurm)
The goal is to find on-chain structural anomalies, as well as seeing if clustering by behavior has emergent semantic properties