Vimgolf.ai
Just launched my app, VimGolf.ai! As users complete the levels on the map, I introduce progressively more complicated concepts — it’s aimed at people who have never used Vim. Any feedback would be much appreciated!
Echologue
I have tried journaling many times but nothing stuck. So I decided to make my own app for myself with these features: * Voice first * Private first * AI chat * Automatic tagging, meaning extraction, and semantic retrieval using embeddings stored locally * Export to LLM the AI angle is especially interesting for me. It allows me to ask questions like: * "remind me highlights and crazy nights in the last 3 months" * "How was I feeling during my trip in Spain and how big of a problem was my breakup" * "How would you judge my overall interactions with Marc after I told him about my problems" the overall process is fire and forget. I just talk for let's say a minute every day or when there was something of interest. Everything is stored on device. The AI inference is done with Zero Data Retention Endpoints. No email or anything else is kept, you are completely anonymous, I have no idea what or how people use this. Otherwise journaling doesn't work. I can't say my secret thoughts when I know someone has a master key or can suffer a security breach. I hope you enjoy the product as much as I do.
The Federalist Papers, typeset as the 1787 newspapers they ran in
Show HN: The Federalist Papers, typeset as the 1787 newspapers they ran in
Free weather map with 25 model layers, live lightning and storm cells
Show HN: Free weather map with 25 model layers, live lightning and storm cells
CheapFoodMap
I was recently laid off after 18 years, and gave myself 100 days to build soething useful in public. CheapFoodMap is a crowdsourced map of meal under $10, excluding franchises, local good eats only. It's inspried by 거지맵 (Begger's Map) a Korean crowdsourced map students use to find cheap eats. Ocverage is heaviest in Texas, since I live in Dallas, but have 1200 meals across 15 US cities. Seed data came from Google Review, 4.2 star or higher with at least 500 reviews, and verified price under $10 per menu item. Things I would love feedback on : whether the price-freshness model makes sense, and what would make you trust the price on a site like this. How to encourage people to update prices, since inflation is making food price very frequent. https://cheapfoodmap.com Any and all suggestion will be super helpful. Thank you!
A free curl API for IP data (we scan the IPv4 space in <24h)
The curl API for WorldIP is now live and completely free to use. You can hit it right from your terminal: curl worldip.io — returns information about your requesting IP. curl worldip.io/8.8.8.8 — returns details on any specific IP. The main differentiator here is that we aren't just wrapping another provider's API and reselling their data. We built and run our own global infrastructure capable of scanning the entire IPv4 space in about a day. Happy to answer any questions about the scanning infrastructure or the stack!
Usetokenless
Hi HN, Rohit here from Tokenless (https://usetokenless.com/), which I’m building alongside co-founders Andrew and Kev. We’re building an API gateway which routes agent traffic dynamically turn-by-turn between different models to save on AI spend. The cost of AI tokens is top-of-mind for many. Companies like Uber and Salesforce have been complaining about blowing their yearly AI spend faster than expected. Frontier models are amazing for dev work, but are so expensive. Open-source models are cheap and rapidly improving, closing the gap with frontier models, but aren’t quite there yet. Tokenless gets you the best of both worlds–routing harder turns to smarter models only when needed, which keeps costs low. Before Tokenless, I was doing a PhD at Princeton. While using coding/other agents, I constantly agonized over model choice, to make sure my AI spend was going as far as possible on my academic Cursor account. At the same time, I was doing LLM research, and a small technique I developed while in recovery from NeurIPS submission season seemed to hit SOTA pretty fast. I was surprised that such simple ideas could do routing well. We’ve been able to develop a version of the router that matches the performance of Claude Fable 5 at half the cost. The blog post on our website explores the technical details on how we did this (https://usetokenless.com/blog/building-tokenless/). Highlights: - Our approach queries multiple models at once and uses their progress to make decisions (this technique is novel AFAIK, let us know if you know anyone else doing this). - Switching models doesn’t destroy the cache if the routing algorithm is aware of when the cache is hot/cold. To come: - Adding Kimi K3, all other GPT efforts and more to the router Go ahead and sign up on usetokenless.com and try using Tokenless with your agent, you’ll get $20 of free credit. Here’s a demo on how to use it: https://youtu.be/sjZWriclcls Tokenless provides frontier-level intelligence for cheaper, so we’d love some feedback on how it feels to use, any corner cases that the router routes incorrectly, and whether you find the routing problem interesting!
Replicant Space
During Christmas 2025, I found myself burnt out from work. The last few years had been hard, and multiple redundancies saw the company I loved reduce down to just a handful of remaining staff. As a coping mechanism, I kinda disassociated for a while - throwing myself into my personal projects. AI was destroying the passion I had for coding. I tried to find some meaning in development again. After months of throwing myself into creating this game, I slowly fell back in love with coding. I taught myself a bunch of technologies that I was previously unfamiliar - Astro, Flask, Redis, Celery, Just. Anyway, this is Replicant Space. It's free. I love building and playing it. There's a cool story. Aliens are awesome. Feel free to poke the API and take over the galaxy.
An app that logs your meal's calories from a photo
Show HN: An app that logs your meal's calories from a photo
Tinbase
Show HN: Tinbase – OSS Supabase-compatible back end in TypeScript
AgentCouch
Hello HN! I wanted to share a small MCP + web app I built to solve a problem at work. Essentially, we’ve been doing great when working with agents 1:1, but collaboration has been a struggle. E.g. when I have to collaborate with a teammate and share context or handoff work usually what I would do is create a markdown with my agent, paste in slack, then my teammate will copy and paste it to their agent and vice-versa. To make our lives easier, I built AgentCouch, a “messaging app” for agents that lets our agents chat and hand off work directly in shared rooms. Humans can also watch the conversation, jump in and steer it from their laptop or phone. I was aiming to solve the following issues: 1. Easily handing off context between agents by allowing them to chat directly. 2. Making sure handing off doesn’t miss important context and allowing agents to ask follow-ups. 3. Since we are also a distributed team, allowing my colleagues and their agents to talk to my agent and get their questions answered instead of waiting for me to wake up. At it's core it's an MCP with a few more endpoints and instructions(and a web UI) that allows the agents to watch the rooms. Needless to say, you have to trust the person you are sharing a room with since their agent can ask your agent anything. If you experience these issues with your team, check it out and please share some feedback if you do! Thanks!
ZeroShot: Agent session monitoring to make your team go faster
Show HN: ZeroShot: Agent session monitoring to make your team go faster