Banking Access Index
Show HN: Banking Access Index – 19 US banking providers, 8 countries, CC-BY
Wirespan, a daily power grid optimization puzzle I made for my son
This was a lot of fun to build! I have an autistic son who is extremely interested in power lines, electrical transmission towers, and how the grid works. I decided to build a little game for him. When I finally showed it to him with bated breath, he rolled his eyes and said, “Is it 3D? I’ll only like it if it’s 3D!” So, I decided to polish it up and release it to the world! You get a 9x9 map with one power plant, three houses, and terrain obstacles, and the goal is to connect the power plant to the houses with an optimal path. Beneath the coat of paint, it’s a graph theory optimization puzzle, very nearly a Steiner-tree puzzle. Any two nodes within Chebyshev distance 2 are wired together automatically. But the wires travel in Euclidian space, so reach is measured on a square and wire on a circle. The skill is balancing that asymmetry to find the shortest route to light up the whole map. Because the original goal of this project was to provide joy to my son, I’ve done my best to make it accessible to everyone. It’s localized into 18 languages so far, has a high-contrast mode meeting AAA standards, reduced motion mode, etc. I do collect usage telemetry to help me improve the game, but I’ve done my very best to take privacy very seriously, collecting anonymous stats about the gameplay itself, with a random id the game generates rather than anything about the player or device. I also generate the privacy policy directly from the analytics code, as a contract to ensure nothing is ever collected without being fully disclosed. I had a really great time with this project, and hope to continue to improve it! I’d love any feedback I can get! Please let me know if you have any questions, and I’ll stick around to answer them! (Reposting because my first attempt landed during a super quiet hour and didn't really get seen)
Keenable
Hey HN! We built https://keenable.ai, a different web search API for AI agents. Keenable searches our own 100B+ page index. We are focused on low cost and latency (p95 <250ms from us-east). We don’t believe in benchmaxxing, so we open-sourced our internal benchmarking suite, NEEDLE (available at https://keenableai.github.io/needle): a live benchmark that compares Keenable with other search APIs on fresh agent-like queries. I spent seven years at Amazon as a scientist working on web grounding for Alexa/AGI, and my co-founder Andrey previously led search at Yandex. We started Keenable because agents search differently from humans, and we wanted to build around those patterns directly. The API is available now and we provide a free allowance of 100,000 requests a month. It also exposes a novel SQL-like interface to the web, which is useful for structured extraction and agent workflows. Happy to answer questions about the index, crawl, ranking, latency, or benchmarking.
Coffeetable, A new UX to discover books inside Claude
People already come to Claude before buying a book. They ask what to read, whether a book is worth starting etc. With coffeetable installed(a claude connector) Claude can now bring you few pages right inside the chat. What better way to decide you like a book than actually read a few pages Also I recommend everyone ask Claude. "Based on everything you know about me, what are some books I must read"
OutMap
Show HN: OutMap – a live map of 235 countries where anyone can place a link
I built a lite LPU that can do inference on Karpathy's MicroGPT
We had no guide or course that teaches chip design at our university. We had taken a digital logic course, but were disappointed with the fact that the most complex project we did was building a full adder in Quartus using logic blocks, not even in RTL!5 Therefore, we decided to challenge ourselves to dive deep into machine learning (ML) hardware and learn as much as we could on our own. We wanted to prove that basic math (like y = mx + b) and basic logic circuits are enough to help anyone understand how modern AI hardware works. Our goal was to design our own version of the LPU from scratch and run a simple Transformer-style model on it, proving that with minimal Machine Learning and computer design knowledge, it’s totally possible. We were also driven by a simple question: What makes the LPU architecture so compelling that even Nvidia licensed it? Keep in mind, this article is not intended to serve as a tutorial for “how to build an LPU from scratch,” and our architecture is not a 1:1 LPU. It serves as an educational resource for how someone with minimal hardware experience can approach this field, and our journey in building what we think an LPU would look like.
Live 3D satellite tracker and the declassified Pentagon UFO archive
Show HN: Live 3D satellite tracker and the declassified Pentagon UFO archive
Make your logo extra bright on HDR screens
Certain logos started standing out to me on LinkedIn as brighter/whiter than everything else around them. I dug in and found out this is accomplished by adding a gain-map to an existing JPEG, visible only on HDR screens like a newer MacBook Pro. LinkedIn is the only social network I've found that isn't stripping them out, but of course you serve them up on your own site. I worked with Claude Code to turn it into a little browser-based utility (no registration) and hope you find it useful!
Structural code grep across public GitHub repositories
Codemod grep searches public code by syntax and structure, not just text or regex. Use ast-grep patterns to find code by shape across repositories.
Interactive map of the Odyssey with tap-to-gloss Homeric Greek
Built an interactive atlas of Odysseus's voyage. See where the stops fall in today's world, with etymological and knowledge nuggets. 17 stops from Troy to Ithaca. Every stop has Homer's actual Greek (Perseus TEI), Murray's 1919 translation, and every single Greek word is tappable for a translation. Press N and the ancient chart swaps to today's satellite view: these are real places (e.g. Scylla refers to a town called Scilla in Calabria). Stack: SvelteKit static + MapLibre, no backend, all public-domain texts and art with a full colophon. Please leave corrections and feedback!
OzBrain, a shared brain for knowledge between agents and your team
I think agent-first chat interfaces will be a primary software modality and busy dashboard/UI will go away. I’m not sure who exactly wins it, but I want my knowledge to grow/go with me. A lot of the “knowledge” ie research, analysis, reasoning will be done by agents as the primary user. Our current notes tools & tasks management systems were built for humans… I don’t care what the 17th thing on my bug backlog is. I want to conduct agents that can execute for me and do great work. What I built OzBrain to do: + Create a central place for agent reasoned knowledge to live + Be agnostic about what apps/agents connect to it + Capture everything and track it so I can audit it + Enable teams, collaborators or partners to share brains + Handle conflicts so many agents in the same article doesn’t blow up + Refactor knowledge into more token friendly chunks and map the index well + Close the knowledge loop so new thinking supersedes old thinking across the corpus. Don’t erase, depreciate and link + Keep user data safe and secure ++ Be easy enough to use that you don’t have to have any technical knowledge Some among us will always build their own custom solutions, but there are millions of tech professionals and small business owners that will use agents heavily and need a solution. So I’m trying to build that. Isn’t this like gBrain? Yes, similar. I think it’s like AWS vs Vercel. AWS is very powerful, configurable, and useful if you’re technical and want to invest the time into really fine tuning your system… but if you just want your web deploy/hosting to just work and be easy to deal with you use Vercel. // WHY I MADE IT I’ve been enjoying getting back to my technical roots, as I lost my coding skills more than a decade ago, but with AI I can focus on the system and the product in partnership with agent coding workflows. I recently built a Voice AI for older people. To build it I created an agentic engineering workflow (feel free to rip that up as I’m always looking to improve systems: https://ozbrain.com/resources/eng-flow) My approach with coding agents is trust but verify, and I’m trying to replace the parts where a human would review with an adversarial or specialized agent who would give a better answer/review. I have workflows that will go high level task to shipped PR running in Claude cloud sessions. I use Claude Code locally and Cursor when I want a tighter loop on doing visual work like UI or layout. And Codex to either load balance usage for TokenThriffting or when I want a different llm to think thru something. It was a pain in the ass passing .md files around and keep track of which version was the most recent, so I built a hosted .md storage right in Supabase and any of my agents already have Supabase access. This let me build a solid, scalable, secure voice AI from my phone at the gym. All my agents have access to our knowledge, can write to it, update and refer to it as we build and improve the product and the systems we use. Out of 75 founder friends I asked about how they manage shared knowledge, 26 built their own custom knowledge systems… Obsidian vaults with 7k files synced through a VPS, markdown repos behind their own MCP servers, cron jobs stitching Supabase to a skills file… each a different Frankenstein they have to maintain. 32 said they felt the pain of moving static files around but didn’t have any solution for it. So I rebuilt my brain better and used it to build it. // HOW YOU CAN HELP Would love to have you try it out. The maintenance loop is still in alpha so not running it on customer data yet. If you built your own brain I’d love to hear how you did it. What criteria was most important for you in its design & function. If you are tired of shuffling .md files around I’d love to have you try out OzBrain and to give feedback, just ask your agent to put it in the shared bugs & features brain! Cheers! Bubs.co
ParqDB
Show HN: ParqDB – Vector search in the browser from Parquet over HTTP"