I analyzed why my post got 0 votes and built this

What it does

In the maker’s words, at launch

Maybe you've had this experience too: You build something you're proud of, post it on HN with your low-karma account, and... crickets. Zero votes, zero comments. That's what happened to me last Monday. I posted my coding tool (XaresAICoder - an open-source browser IDE) that I'd built with AI assistance. In my mind it was revolutionary. On HN? Completely ignored. Then I wondered: How many other potentially great projects suffer the same fate? What "hidden gems" are we missing because they come from low-karma accounts? So I built hn-gems (with help from Claude and my own XaresAICoder). It works in two stages: Continuous scanning: Analyzes all new HN posts from accounts with <100 karma, scoring them for technical merit, originality, and problem-solving value AI curation: Every 12 hours, an LLM deep-dives into the top 10 candidates, checking GitHub repos, documentation quality, and actual utility The result is what you see at the link - a curated list of overlooked quality posts that deserve more attention. The interesting part: I barely wrote any criteria. I just told Claude "open source good, pure commercial bad, working demos good" and let it figure out the scoring. The AI assessment varies slightly each run, which actually makes it more interesting. GitHub: https:&#x2F;&#x2F;github.com&#x2F;DG1001&#x2F;hn-gems Is this useful? Do you have ideas how to improve this tool if necessary? (And yes, my XaresAICoder that got 0 votes? The AI thinks it's actually pretty good. I'll take that as a win.)

• JA
  Jig – a tool to define, compute and monitor metrics2021 · jigdev.com · ▲74

  Hi HN, 8 months ago, I posted “Ask HN: I built it nobody came, what now?” and got a ton of (not very optimistic) feedback [1]. I took away 3 things: 1. The message wasn’t properly targeted 2. The onboarding experience was terrible. 3. Someone posted some advice to find leads which actually worked, yeah! So here we are. 8 months later. I unfortunately didn’t have a lot of time to put in the tool itself. But I improved the website, improved the onboarding, and got a paying customer who seems to really like the software. So here it is in its current form. Let me know what you think would make…

• OW
  Our weekend project - HN Showcase, browse "Show HN" posts2011 · ▲63

  http://www.hnshowcase.com Moses (nnythm) and I browse Hacker News daily. Show HN posts are some of our favorite parts of HN. We wanted to create a way to browse Show HN articles, even those that might not quite make it to the front page. We created http://www.hnshowcase.com last weekend to make discovering projects posted on HN easier. It searches all "Show HN" posts and generates a thumbnail view for each of them. You can sort by submission date, points, and number of comments, and navigate with left/right or j/k keys. We used the following technologies: HN Search API, Pyramid web…

• IB
  I built an AI visionboards site2025 · visionboardsai.com · ▲8

  Hello everyone, I doubt this would be relevant to the kind of person who uses HN, but I thought I could share for some feedback. I built this site because there is a whole world of people who believe in new age spirituality and I am very much one of them. It is a site where you get the users gender their goals and their images and use AI and psychology to generate images of them in the process of achieving their goals. I am so deeply struggling with how to get this highly on Google. I don't even know if that is important anymore. What are your suggestions with distribution and getting in…

• RO
  Retrospective on having my “Show HN” on the front-page2021 · ▲13

  I was lucky enough to have my site trending on Friday (https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=25872922). It’s an icon site that lists open source icons. I wanted to share some stats on the results after 3 days. Worth noting was that I submitted it on a Friday morning (at which point I went for a walk and a coffee; eek). - 24,997 page views. I (embarrassingly) didn’t have GA set up when I first submitted it, so this is probably missing a few hundred page views - 21 “feedback” emails (half of which were spam). I assume such a high percentage of these were spam because my Feedback…

• WB
  We built an AI Website builder with better output2024 · dorik.com · ▲8

  Hey HN, After GPT-3 created waves in the tech industry, a lot of AI tools were emerging and with that, some AI website builders But the results seemed way too generic to us. It felt like the developers were rushing to catch the wave instead of building a proper tool We took our time, did months of RnD and finally came up with something better than what others in the market are doing. It’s got better design output. While it’s still in beta, I wanted to show HN what we did. Will appreciate the feedback when you guys try it out. Here is the link to signup for the beta:…

• 1R
  12K Reddit posts scraped and AI-scored for startup ideasNov 2025 · search.reddit-business-ideas.workers.dev · ▲5

  I wanted to find a product idea to build. "Build things people want," right? So I thought, why not literally find people saying what they want? I wrote a script to collect thousands of Reddit posts where people are looking for a solution or complaining about a problem. Then I used GPT to filter out the noise and score each one based on how viable the idea seemed. Threw together a simple search interface so anyone can explore them. I was planning to build a more advanced paid version of this, but figured I'd share the raw version first to see if it's actually useful to anyone.

• 
  I trained a 125M model to autocomplete piano on-device▲598

  I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes&#x2F;sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

  AI · 17d ago · simedw.com

• 
  Astute▲585

  Automate your B2B brand going viral, with new media creators

  AI · 18d ago · company-app.joinastute.com

• 
  Grok Bot▲547

  AI teammates that you can give real work to

  AI · 25d ago · x.ai

• 
  Needle2: 14MB agentic LLM for phones, wearables, smart home and robots▲537

  Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens&#x2F;sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens&#x2F;sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

  AI · 27d ago · cactuscompute.com

• 
  Coldtea.ai▲512

  Make your software self-driving

  AI · 30d ago · coldtea.ai

• 
  Soloop▲472

  Approval-first Agent OS for solo founders

  AI · 30d ago · soloop.io

• 
  Trace▲1,556

  Workflow Automations for the Human 👾 AI Workforce

  AI · 2025 · trace.so

• IS
  I spent 6 years building a ridiculous wooden pixel display▲1,145

  I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https:&#x2F;&#x2F;kilopx.com&#x2F;

  Work · 2025 · benholmen.com

• 
  Indy AI by Contra▲1,070

  Job boards are dead. Your network is alive

  AI · 2025 · contra.com

• KT
  Kitten TTS – 25MB CPU-Only, Open-Source TTS Model▲1,003

  Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…

  Dev tools · 2025 · github.com

• IW
  I was curious about spherical helix, ended up making this visualization▲865

  I was wondering how I can arrange objects along a spherical helix path, and read some articles on it. I ended up learning about parametric equations again, and make this visualization to document what I learned: https:&#x2F;&#x2F;visualrambling.space&#x2F;moving-objects-in-3d&#x2F; feel free to visit and let me know what you think!

  Life & fun · 2025 · visualrambling.space

• TC
  The current sky at your approximate location, as a CSS gradient▲788

  For HTML Day 2025 [1], I made a web service that displays the current sky at your approximate location as a CSS gradient. Colours are simulated on-demand using atmospheric absorption and scattering coefficients. Updates every minute, without the use of client-side JavaScript. Source code and additional information is available on GitHub: https:&#x2F;&#x2F;github.com&#x2F;dnlzro&#x2F;horizon [1] https:&#x2F;&#x2F;html.energy&#x2F;html-day&#x2F;2025&#x2F;index.html

  Dev tools · 2025 · sky.dlazaro.ca