Snag AI
AI cover letters, job audits & profile scoring for Upwork
What it does
Snag AI is a Chrome extension built for Upwork freelancers and agencies. It writes AI cover letters using your real portfolio, rate, and tone editable in place with one-click refine commands. It runs job audits that flag competition and client quality before you apply, and scores your profile across 9 sections with copy-paste fixes. Smart alerts notify you the moment a job matches your saved filters, so you catch the right opportunities first.
Snag AI is a Chrome extension that writes AI cover letters, audits jobs and profiles, and sends smart job alerts right on Upwork, for freelancers and agencies. Plans from $19/mo.
Snag AI audits jobs, audits your profile, and writes cover letters right on the page you apply from, for freelancer and agency profiles alike. Snag AI runs directly inside Upwork for both freelancer and agency profiles, no separate app, no copy-pasting. Snag AI reads the job's title, description, budget and client review, cross-references it against your synced profile and portfolio, and drafts a letter inside Upwork's own cover letter field, then you refine it in place with quick commands. Snag AI reads the job post for competition signals, budget clarity and scope red flags, and compares it against your own rate and skills, giving you a clear read (Apply, Apply carefully, or Skip) before…from snagai.pro
Does the same job
all alternatives →
Instant Job Cover Letters with AI2023 · ▲91Speed up your job applications by 10x, just drop a resume
More ai this month
the category →
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.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
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…
Life & fun · Aug 2026 · toneyalexander.github.io
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.
AI · 16d ago · simedw.com