Mera Form
Your personal AI assistant to fill job forms 10x faster
What it does
Typing the same work history into 20 different ATS job forms causes burnout—and rushed forms get rejected. Mera Form is your personal AI assistant that fills complex job applications in under 2 minutes. Instead of basic copy-paste autofill, it reads job descriptions, understands label context, and writes accurate, human-like answers tailored to the role. Boost callback rates, skip repetitive typing, and apply 10x faster with 100% privacy and zero setup required. Free forever.
Mera Form is your free personal AI form filler. Reads your resume and fills job application forms on Workday, Greenhouse, Lever, and more. No signup.
Then the next job asks for the same things. That is burnout. Mera reads your resume and fills the form in 2 to 3 minutes. Mera builds a CV that uses the words from the job you are applying to. Mera studies the posting so it knows what the form is asking for. Mera reads labels, context, and intent — not just empty boxes. Each field comes from your resume and the job in front of you. Everything you need to know about using Mera Form as your personal AI form filler for job applications. An AI form filler is a browser extension that reads the fields on a web page, understands what each question is asking, and fills answers from your resume or profile. Mera Form is built for job applications —…from mera-form.com
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/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.
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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/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, August 2026
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/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.
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