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Ask HN: What are you working on? (February 2026)

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Re: Ask HN: What are you working on? (February 2026)

#231
Working on Memory Store: persistent, shared memory for all your AI agents.

https://memory.store

The problem: if you use multiple AI tools (Claude, ChatGPT, Cursor, etc.), none of them know what the others know. You end up maintaining .md files, pasting context between chats, and re-explaining your project every time you start a new conversation. Power users spend more time briefing their agents than doing actual work.

Memory Store is an MCP server that ingests context from your workplace tools (Slack, email, calendar) and makes it available to any MCP-compatible agent. Make a decision in one tool, the others know. Project status changes, every agent is up to date.

We ran 35 in-depth user interviews and surveyed 90 people before writing a line of product code — 95% had already built workarounds for this problem (custom GPTs, claude.md templates, copy-paste workflows). The pain is real and people are already investing effort to solve it badly.

Early users are telling us things like one founder who tracked investor conversations through Memory Store and estimated talking to 4-5x more people because his agents could draft contextual replies without manual briefing. It helped close his round.

Live in beta now. Would love feedback from anyone who's felt this pain! :)

Re: Ask HN: What are you working on? (February 2026)

#234
I’m working on Zigpoll[https://www.zigpoll.com], a lightweight survey/feedback tool for ecommerce (mostly Shopify).

Built it because most survey tools felt overgrown for what I needed. It focuses on post-purchase and on-site surveys, attribution questions, and getting clean data out.

Lately I’ve been working on:

Simpler targeting + survey logic Exposing survey data to AI tools Improving response rates without nagging users

It’s bootstrapped, profitable, and built by one person (me).

Re: Ask HN: What are you working on? (February 2026)

#236
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).

Re: Ask HN: What are you working on? (February 2026)

#237
https://sampler.meiji.industries/

I built a TUI sampler which cherry-picks my favourite features from modern & vintage hardware samplers, DAWs, plugins, outboard FX gear, and DJ equipment.

If you know what an AKAI MPC Live, MPC 3000, SP404, SP1200, BOSS RC-202, Alesis 3630, Serato Sample, S950 filters, and stem separation does, then you'll love seeing these "greatest hits" up in a terminal interface.

Last year while on vacation in Costa Rica, I started scratching my own itch for locating and organizing samples, which quickly evolved into adding more and more features while keeping it tactile and immediate. It was too fun to stop so I kept going. After a few days I was happily making beats in it, and since then it's only gotten better.

It's live and totally free to use, and works in macos & Linux (Windows soon). I'm about to launch v1.0 now, just working with folks in the community to round out the Factory Kits a little more for users new to beatmaking.

Turns out, making beats with no mouse and a terminal interface strikes the perfect balance of hardware feel and software power, and I'm loving the result. Been sharing it with folks in my beatmaking sphere and have plans to continue expanding its reach through more collaborations, contests, and in-person events.

Hope it brings you as much joy as it does to me :)

Re: Ask HN: What are you working on? (February 2026)

#238
https://matula.itch.io/kings-dont-stack

Klondike solitaire game using Godot. The goal is to better understand Godot's inner workings, and not using any LLMs... outside of whatever Google searches automatically popup when I have questions.

Secondarily, decompiling the DuckTails Gameboy ROM with PHP... then seeing about using PHP to create a GameBoy game. For no reason than to see if it can be done.

Re: Ask HN: What are you working on? (February 2026)

#239
BrowserBox embedding API plus a bunch of other side projects. BrowserBox is a remote isolated browser with a variety of DLP, NIST 800-53 controls and FIPS 140-3 encryption at rest. It can function as a fully automated embeddable browserview for AI workflows, isolated sandboxes, generic whitelabeled RBI and multiple other use cases. It's a heavy target of abuse by non state actors in sanctioned countries so I had to add ID verification to get a trial key.

Re: Ask HN: What are you working on? (February 2026)

#240
Built ShelfSwap (https://shelfswap.io). I enjoy reading, but books are getting expensive, and many of us already have shelves of good books we’re done with. This is a simple platform to swap physical books and connect with other readers.

I used this as a real end-to-end project to sharpen my backend skills in Go (API design, data modeling, deployment), while also experimenting with AI-assisted development. It’s live, and I’ve already made a few organic connections through it.

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