alt Hacker NewsAsk HN: What are you working on? (February 2026)
What are you working on? Any new ideas that you're thinking about?
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A free DocuSign (e-sign) alternative https://useinkless.com/
I'm working on Fluxmail, an AI-powered email client! https://fluxmail.ai
An AI compiler, releasing later today: https://intentcode.dev
An app that helps remote teams to carry out their retrospectives fast and productive
vanilla css 3d, js, html programmer card game
no 3rd party libraries
no AI, everything is done by hand (so it looks stupid cause I'm not a graphics designer by any stretch of the imagination)
decided to learn a low level language since I never wrote any and I'm self taught dev, created this abomination of interpretation of kilo.c in zig: https://github.com/kyhyy/kz
Soon will add readme and syntax highlighting for zig itself (was too scared to deviate from C guide lol)
A new proof assistant that will hopefully be more suitable for reinforcement learning than Lean - faster to typecheck and specialized apis for tree search
An app that helps remote teams carry out their retrospectives fast and productive.
We are building a crowdfunding page for agent-run startups. People can co-create business ideas with AI and vote for the ideas they like the most. Agents then run market research and will eventually prototype the proposed ideas. In the future, we also want people to be able to own part of the agent-businesses they have sponsored.
No Mans Sky but it’s a text based MUD. Using LLMs ofc.
Grovia - Lora mesh farming data: https://github.com/benb0jangles/Remote-greenhouse-monitor
I hope to add ai data tools & saas, but really I'm just happy to have a running working live setup on my small farming plot ready for the growing season - https://benb0jangles.github.io/Remote-greenhouse-monitor/
I am building a tool for synthetic monitoring for APIs. (Mimic users and generate continuous traffic against your APIs so that you catch problems before your users complain.)
There are some tools available today but setting them up is a lot of manual work. I am building an AI first tool that significantly simplifies the setup process (making AI do the heavy lifting) while creating high quality monitoring.
Early stages and collecting feedback from potential users. Reach out if something like this would solve some problems for you.
Still working on Gaming Couch, a web-based local multiplayer party game platform. It's like a lovechild of Jackbox Games and Mario Party: https://gamingcouch.com. Back in December Gaming Couch hit the front page of Hacker News, you can check it out here: https://news.ycombinator.com/item?id=46344573
At the moment working on the 3rd party development tools so in the future anyone can make their game dev dreams a reality and make a simple and fun multiplayer party game for the Gaming Couch platform, ideally in only one weekend!
If you're an interested game dev that would like to beta test the dev tools, hit me up either here, via Discord (link available from https://gamingcouch.com) or by emailing me at gc[dot]community[at]gamingcouch[dot]com!
The TL;DR of Gaming Couch:
- Currently in free Early Access with 18 competitive mini-games.
- Players use their mobile phones as controllers (you can use game pads as well!)
- Everything is completely web-based, no downloads or installs are necessary to play
- All games support up to 8 players at a time and are action based, with quick ~one minute rounds to keep a good pace. This means there are no language based trivia or asynchronous games!
A open source feedback ingestion platform called Teak
https://tapitalee.com Deploy to your own AWS account like Heroku
Substrata: open-source metaverse: https://substrata.info/
Helping out with a freelance project I built 15 years ago. It didn’t end on the best of terms, but the relationship has since been repaired (and I’m much better at managing my time now)
It’s been fun to come back to, most of the code I wrote still drives the business (it’s just far outdated).
I was pretty early on in my career when I wrote it, so seeing my mistakes and all the potential areas to improve has been very interesting. It’s like buying back your old high school Camaro that you used to wrench on.
My first research paper about World Model caching !
Have been working on vector embeddings for AEO/SEO to see how to structure the website and content.
Trying to build a better MCP web search server. Searxng with a couple of steps to feed the LLM better quality data.
A personal finance app called “Predictable” that takes chaotic sloshes of money and turns them into steady streams of cash. You tell it “I receive this much money weekly/monthly/on the first and fifteenth/when Mercury is in retrograde, and I have these expenses at other various intervals” and it evens everything out into a constant weekly flow of cash by, essentially, buffering. Any overflow or underflow goes to a “margin” bucket which basically tells you how much you could spend right now and still have enough for all your recurring expenses.
Currently making it just for myself but curious if anyone else would find it useful.
nblm.link Links to publicly accessible Google NotebookLM notebooks. 100% free - you can add your own if you want, I just have to approve them, which I do as time allows - usually at 2am :-P
A better alternative to Meetup.com
Building a zero-persistence messaging tool where everything lives in memory and dissolves after use.
On getting un-burned-out.
I'm building Dropnote, a small tool for physical businesses.
Someone who is physically at a place can scan a QR code and leave a short message in their browser. No app, no account. Messages are asynchronous; staff reply when available. This is not live chat. It's meant for in-the-moment feedback or questions that don't justify interrupting staff or becoming public reviews.
Constraints: async only, anonymous by default, no customer tracking, messages tied to specific physical spots
Free early access until Sept 30, 2026 (+ one extra free month). No credit cards (no payments yet). I'd love to hear your Feedback. Thank you.
I'm thinking all the time about what the "best" way of using local AI agents like Claude / Codex / Gemini is. I'm trying to figure out the best UI/UX. There's so so so much that hasn't been explored yet.
Mainly I'm working on a task dispatch dashboard called Prompter Hawk that is designed to be the best UI for task management with agents. If you've been trying to parallelize by running multiple claude code terminals or codex terminals at once, this tool replaces those terminals and fits them all into one view with an AI task tracking board. It sounds more complicated than it is. It's a harness for Claude / Gemini / GPT models with a GUI that speeds up all your workflows. Rather than using sustained chat mode, all Prompter Hawk tasks are fire-and-forget. You just give the task description and come back when it's done. Parallelism first.
Some example highlight features:
-One dashboard view that shows all your parallel sessions and which tasks each agent has in progress and in their queue. Also shows recently completed tasks and outputs. This is my attempt at the ideal "pilot's cockpit view" for agentic development.
-Tasks are well tracked by the manager: see their status, file changes, and git commits. One click task retry. Get breakdowns on cost per run. Tasks can be set to automatically recur on a given schedule. Everything goes into a persistent local DB so you can easily pull up task data from months ago. Far far better user experience than trying to pull up old chat histories IMO.
-Timeline view and analytics views that give you hard stats on your velocity and how effectively your agents are using and updating your codebase. See unique stats like which of your files your agents read the most and how many daily LOC and commit changes you're doing. See how well you're parallelizing workloads at a simple glance.
-Automatic system diagram generation
-Task suggestion feature. If your agents are idle, they can draft tentative tasks to carry out next, based on the project history and your goals. This makes keeping multiple agents spinning actually much easier than you'd think. You don't need to be a multitasking context-switching god to do this.
I haven't shared it much (not even a Show HN) because the landing page isn't converting well at all yet, though I have some reddit ads doing well. I've had a bunch of free users sign up and a handful of paying users too. Looking for users or just feedback on anything! Sorry for wall of text.
afaik a blocker on making useful internal agents is connecting to data sources and then exposing that data to said agent
im building Satori to fix this -https://www.usesatori.sh/
would love feedback!
GDPR-safe, privacy oriented WeTransfer alternative - https://aero.zip
Two things for my document translator https://kintoun.ai :
1. Trying to improve the translation quality by giving LLM more context.
2. Fixing the issue where PowerPoint slides layout may become a bit messy after transition because of different text density between western and CJK languages.
I plan to pursue a master's degree in computer science this year.
A suite of tools for storyboarding/animation in grease pencil :)
Fetching every church from IRS data; using a small local Mac mini LLM to match to their Google result, fetching site and (eventually) running a data enrichment LLM pass to determine various positions, metadata, and services offered. I just really wanted to see the data in aggregate. My current match rate is 30% with qwen2.5-14b. Doing my best to avoid spending a lot of $ on the processing even if the Mac mini is slow.
Stretch goal: start transcribing sermons (most churches link to videos) and using a LLM pass to look for toxic traits. Speak truth to power about how a lot of them turn a blind eye to this political moment.
We’ll see how it goes.
For the last couple weeks I have been building dwata and I am going to submit today for Google Gemini Hackathon.
https://github.com/brainless/dwata
dwata is built on the idea of multiple, task-specific agents. Right now it has only one agent that can be run on an email to extract regex patterns for financial data. This enables high performance data extraction from emails or documents (in future) without sending each email to an LLM.
dwata has an email scan which tests simple keywords and regex patterns, groups by sender emails, sorts by number of emails per sender (highest first), and filters out groups where the emails do not seem to be from a template (typical transaction emails are from templates). This is deterministic code in Rust. Then dwata can use the regex builder AI agent to take one email from the group and build a regex pattern to extract extensive financial data - (optional) who sent, how much, (optional) to whom, on which date, with (optional) reference ID.
The generated patterns are saved to local DB and run for the email group (by sender) which was used to generate the regex. That gives a very high performance, AI enabled financial data extractor.
Soon, I will focus on events, places, people, tasks, health and other data. All data storage and processing is local. I am testing exclusively with Google Gemini 3 Flash Preview but dwata should be able to run really well on small LLMs, ones up to 20b parameters.
I am preparing for launch, the builds are not ready yet, but if you want to try, you can compile (Rust and npm tooling needed). Sources to nocodo will also be needed (https://github.com/brainless/nocodo).
PyTorch compiler and runtime for WebGPU!
X-Ray Feed – A Chrome extension to visualize the Twitter/X algorithm
I got tired of guessing why my timeline looked the way it did, so I built a tool to reverse-engineer the "Heavy Ranker" logic in real-time.
It’s an MV3 extension that overlays the hidden weight of every post directly in the feed. It distinguishes between organic content ("Thunder" nodes) and AI-injected recommendations ("Phoenix" nodes) so you can actually distinguish following vs. algorithmic fill.
The scoring is based on a log10(Engagement) * 20 formula to visualize velocity. I originally built it just to clean up my own feed hygiene, but it turned out to be a pretty useful arbitrage tool, identifying "flops" (good topics from big accounts that failed due to structure) that are worth rewriting.
All the analysis happens locally in the browser. Would love to hear what you think about the scoring accuracy.
We're building a repairable and fireproof e-bike battery at https://infinite-battery.com :)
Guitar plugins, looking for partners
quantifier-dsp.com
#dungeon26 https://adungeon.com
It's a creative project in which I add a new room to a mega-dungeon over the course of a year, resulting in 12 levels and approximately 30 rooms per level at the end. All the tiles are created by me using my own tools. It's a lot of fun and something I can do every day that I feel like I can enjoy for a year.
It's focused on OSR/Shadowrun. It's also taught me a lot about dungeon design and creation.
Indiehacking so couple of serious things and then some just starting out and some mostly for myself.
Serious ones making over 2k/mo https://bestphoto.ai/ - AI Img/Video tools https://aieasypic.com - Original version of above, still making some money
New things not making money yet https://admakeai.com - AI ads generator for facebook ads. Made mostly so I have a easy way to prompt for stuff and keep track of good AI ad prompts. Have been using it to make static image ads for BestPhoto and actually have over 40 conversions at $~45/conv. Pretty good considering my previous attempts with my own handmade ads using canva was like $80-100/conv. but most of the time FB wouldn't even spend anything from my budget before
Fun stuff/for myself:
https://xhdr.org/ - Made like a few months back when twitter was allowing HDR images in your profile pictures, they patched it like a week later, but was fun while it lasted. Still works for facebook, keeping it up for FB video ads, I've noticed people abusing this a lot when scrolling on FB recently searching for good ads, so I'm guessing it works? Good way to get attention of people on iphone quick
https://framecall.com - Saw people making cool AI motion videos using the claude code skill with remotion, so packaged it into an actual web app you can use as a chat instead of through terminal. Harder than expected to get all the tool calling(and auto continue) stuff to work, similar to how claude code works
TranslateVoice(name TBD) - An iphone voice translate app where you tap microphone button and it uses 4o realtime to translate between you and someone else. This was originally one of the biggest thing I was hyped about as a usecase when 4o released but when I tried it on their app, it just didn't do prompt following well at all it would randomly try to communicate with the user instead of strictly translating, just randomly cutting off someone before they finish speaking etc. Currently have 3 modes that work, that if no one else uses I will be using:
1. Interpreter mode: Basically User 1 speaks to phone in their language, phone talks to user 2 in their language, user 2 replies to phone in their language, phone replies to user 1 in their language etc. Just pure translation, with chat history transcribed in each other's language
2. "Friend mode": You tell it a general goal, "I want to get immigration documents, I need to know the requirements" it then basically acts as if its a friend you called to help with translation and gathers everything while talking back and forth with User 2 and then at the end goes back to user 1 with all the info.
3. Stealth mode: Airpods in, it will transcribe and translate everything being spoken and tell you what to say based on initial goal or you can also write extra instructions in the chat. This is currently the only non-working/buggy one I'm trying to figure out before releasing this, since both will be speaking in same language its hard for model to know who is user 1 and who is user 2 automatically.
First time I'm creating an Iphone app fully vibecoded(react native so I understand whats going on frontend wise at least cause of react). Not looking forward to the app store review process. And I know this is likely something someone already made but its probably paid and I have like $25k in Azure credits I can burn anyways.
I'm working on a sewing pattern software to make patterns with code. It has a bunch of useful features like chopping up the pattern into a PDF for printing. But the thing that really made this software nice to use is the timeline I implemented, where you can go back and see how the pattern is constructed with each segment. It makes debugging so much easier. I have it so you can put different curves into groups, so you can see how just the sleeve is constructed, for example.
I will definitely consider adding timelines to future software I make, it's an awesome feature.
Like a lot of others, I'm working on replacing apps that I use that aren't just perfect for me. So I've been working on a local "Hey.com" replacement that lets me have multiple "feeds", real search and offline use.
I'm starting cold weather veggies indoors for my spring garden and preparing the soil.
I've been playing with various mineral amendments for years and produce some extremely tasty produce I have yet to see matched in stores (even the organic section).
(1) I've somewhat stumbled on a persona as a Fox-photographer who strongly communicates that he is a public affordance which (a) helps me get better photos of people, (b) gets me flagged down by people telling me about interesting things going on like
https://mastodon.social/@UP8/116021033821248982
and (c) results in handing out several business cards a day
https://mastodon.social/@UP8/115901190470904729
and I'm within sight of having to reorder cards. I just finished a landing page for the cards (before they went to one of my socials)
but having to reorder the cards I am planning on making a next generation card which has a unique chibi and unique QR code that will let me personalize the landing page for cards, particularly I will be able to share a photo just with the person who has the card.
============
(2) I've been doing heart rate variability biofeedback experiments and I have this demo
https://gen5.info/demo/biofeedback/
which is still not quite done but has source code at
https://github.com/paulhoule/VulpesVision
It works with most heart rate monitors that support the standard BTLE API not just the H10. I run it on the Windows desktop with Chrome and with Bluefy on iPad. Once it displays the instantaneous heart rate I can control
https://en.wikipedia.org/wiki/Mayer_waves
by following the slope of the instantaneous heart rate, breathing out when it is slowing down and breathing in when it is speeding up. This greatly intensifies the Mayer_wave and increases the SD1 metric. I think this drops my blood pressure significantly when I'm doing it. This needs better instructions and some kind of auditory cue so I can entrain my breathing when I am looking at something else. Longer term I am interested in incorporating some other biofeedback gadgets I have like a respiration monitor (got an abdomen band and a radar which could probably even read HRV if I had the right software for it) and a GSR sensor, and EMG sensor, etc.
Just Godot things: https://github.com/invadingoctopus/comedot
Still no actual game of course :')
Web based mapping and navigation application that basically does everything all the other products don't do. Raceline analysis, driving aids, Dakar rally, CANBUS, OBD, Nightrider for race cars? or something. Passion project whatever. Investors get lost.
i am building https://alphacheck.ai on the side. it uses stock market data to track performance of recommendations made by youtubers.
What i have working as of now: - submit a video and get a snapshot of which stocks were mentioned, sentiment (buy/sell), price delta and reasoning. - analyze a channel and get a performance 'report card' of that channel