Product Catalog
190 products tracked
GovAuctions lets you browse government auctions at once
I've long been into finding deals on government auction sites (seizures, surplus sales etc.) - right now for example San Diego DHS is selling 26 tons of lead shot, with bidding starting at $1,000 Β―\_(γ)_/Β― It has historically been extremely tedious though: scanning dozens of janky sites which have interminable page loading times; back buttons take you all the way back to the homepage etc. The site I built - GovAuctions - lets you search every government surplus auction at once. You can filter by location, category, and price, save items to a watchlist, and get alerts when new auctions match what you're looking for. Let me know what you think, if you have any suggestions, and if you find any deals in your area!
I Built Paul Graham's Intellectual Captcha Idea
PG has posted about improving social networks using something like an "intellectual CAPTCHA" many times [1][2][3][4] - "Make users pass a test on basic concepts like the distinction between necessary and sufficient conditions before they can tweet." I felt the same way. So I built one using a mix of simple math, logic, and Twitter/X Community Noted posts. Try sample questions here - https://mentwire.com/sample - without signing up. - Invites are temporarily open to HN users. - Onboarding test + one daily question before accessing feed, post or reply. - Posts authors are anonymous until upvoted or downvoted, forcing evaluation of content on merit. - Face ID (on-device only) to post/reply, pangram checks for AI text. Sourcing good questions turned out to be much harder than I thought. If you have suggestions to scale this, I would love to hear. Eventually, could be gated across disciplines/topics to get a competence Γ interest graph instead of the pure interest graph of today's social networks. [1] https://x.com/paulg/status/1235949761359904768 [2] https://x.com/paulg/status/1576517990182359040 [3] https://x.com/paulg/status/1514979883948126209 [4] https://x.com/paulg/status/1505842647319126016 Repost from https://news.ycombinator.com/item?id=47577829. This link contains a full quiz and linked directly to sample to try without signing up.
YouTube search barely works, I made a search form with advanced filters
Show HN: YouTube search barely works, I made a search form with advanced filters
Enter an Instagram/TikTok handle, get a data-backed price for collab
I had no clue what to offer IG/Tiktok creators for collabs and their offers were too high. That's why built a thing that turns IG profile name into suggested pricing with key metrics and suggestions, looking forward to hearing your feedback!
Cabinet
Hi HN, for quite some time I've been thinking how LLMs are missing the knowledge base, where I can dump CSVs, PDFs, and most important, inline web app. running on Claude Code (bring your own agent) with agents with heartbeats and jobs https://runcabinet.com It runs locally and is installable via npm. GitHub (open source): https://github.com/hilash/cabinet This is still very early. I put the first version together quickly after seeing a post by Andrej Karpathy about LLM knowledge bases, which matched closely with what Iβd been building. Some people have already started trying it and opening PRs, which has been encouraging (got 374 stars in 2 days :] ) If useful: Waitlist for a hosted version: https://runcabinet.com/waitlist Discord (small, but growing): https://discord.gg/rxd8BYnN Would really appreciate feedback: does this βKB + agentsβ model make sense? what would you expect from a system like this? where does this fall apart? Happy to answer anything. Hila
Contrapunk
Show HN: Contrapunk β Real-time counterpoint harmony from guitar input, in Rust
Artemis.fyi
There are plenty of Artemis II trackers out there. I looked at a bunch and kept running into the same issues - some had data that didn't look right, it was hard to use on smaller screen, others felt overly complicated for what I actually wanted to know: what's the crew doing, where is Orion, how fast is it going. The best one I found was issinfo.net/artemis, which inspired a lot of the design. So I built my own. The part that was genuinely interesting to me was the data. Turns out anyone can query JPL's Horizons API for full ephemeris data on the Orion spacecraft - position, velocity, range - for free. I had no idea this existed. Even better: NASA's Deep Space Network publishes a live XML feed (eyes.nasa.gov/dsn/data/dsn.xml) that updates every 5 seconds showing exactly which ground antennas are talking to which spacecraft. Right now two dishes in Canberra are locked onto Orion - one sending commands, both receiving 6 Mbps of S-band telemetry at 296,000 km. You can see Juno at Jupiter, JWST, Mars Odyssey, all in the same feed. It's pretty amazing what's just sitting there in the open. The app fetches trajectory from Horizons, crew activities from NASA's published flight plan, and live ground station status from DSN. I'll be honest - it's mostly vibe-coded with supervision. The data pipeline is the part that was more manual: figuring out what's publicly available, how to compute relative positions from raw vectors, how to cache and backfill. That was the fun part. Code is open on GitHub. I built it for myself and as a fun exercise, but happy for any feedback - especially around data correctness and what other public data sources are out there that I might be missing. Source: https://github.com/dmarchuk/artemis.fyi
Ray
I've been using this daily for 4 months and figured others might find it useful. This is my first open source project so would love any feedback. Ray connects to your bank via Plaid, stores everything in an encrypted local SQLite database, and lets you ask questions about your finances in natural language. No cloud, no account, your data is stored on your machine. Before anything reaches the LLM, all PII is stripped β your name, companies, transaction details are redacted and replaced with tokens, then rehydrated locally in the response. The AI never sees who you are.
M. C. Escher spiral in WebGL inspired by 3Blue1Brown
The latest 3Blue1Brown video [1] about the M. C. Escher print gallery effect inspired me to re-implement the effect as WebGL fragment shader on my own. [1]: https://www.youtube.com/watch?v=ldxFjLJ3rVY
sllm
Running DeepSeek V3 (685B) requires 8ΓH100 GPUs which is about $14k/month. Most developers only need 15-25 tok/s. sllm lets you join a cohort of developers sharing a dedicated node. You reserve a spot with your card, and nobody is charged until the cohort fills. Prices start at $5/mo for smaller models. The LLMs are completely private (we don't log any traffic). The API is OpenAI-compatible (we run vLLM), so you just swap the base URL. Currently offering a few models.
A game where you build a GPU
Thought the resources for GPU arch were lacking, so here we are
Ismcpdead.com
Built this to track the ongoing debate around Model Context Protocol - whether it's gaining real traction or just hype. Pulls live data from GitHub, HN, Reddit and a few other sources. Curious what the HN crowd thinks given how active the MCP discussion has been here.