fieldNotes
AI apply your codebook to transcripts, you approve each code
fieldNotes launched on August 8, 2026 with 2 votes, #5,788 of 23,274 launches that month.
What it does
FieldNotes is browser-based qualitative coding software for academic researchers. Define your codes once and the AI applies them deductively across every transcript, consistently at scale. Every proposal needs your approval, merge, or rejection, so you keep full scientific control. Exports a fully auditable XLSX (codebook, coded excerpts, decision log) ready to cite in your methods section. EU-hosted, GDPR-compliant, data never trains AI models. From €9.99/month: a fraction of NVivo or ATLAS.ti.
FieldNotes applies YOUR codes to new transcripts automatically. Define your codebook — the AI codes deductively from it. Browser-based, affordable, GDPR-compliant.
Define your codes once. FieldNotes applies them across every transcript — deductively, consistently, at scale. You review every decision. Full scientific rigour, without the manual grind. Participant: Honestly, it wasn't really my decision. My manager kept emailing during leave like nothing had changed, so I felt like I had to come back early just to keep my role. Matches an existing code in your codebook — used in 4 other excerpts. Build your codebook your way — then let the AI do the repetitive application work while you stay in control of every decision. Upload interview transcripts in .txt, .md, .docx, or .pdf format. FieldNotes segments them into speaker turns automatically. A large…from fieldnotes.unpinned.nl
Does a similar job
all alternatives →
We built an AI to review your pull requests2025 · infinitcode.ai · ▲53Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, August 2026
the whole month →- TL
Life & fun · Aug 2026 · louisabraham.github.io
Clipto MCP▲655Hey HN, We recently built Clipto. It’s a tool that lets you search over terabytes of video, audio, and images on your computer, without relying on the cloud. Motivation: we probably all had this similar experience, we know a moment exists in a video or audio, but finding it takes hours scrubbing the timeline. You can send all the media to process in the cloud, but it’s slow, expensive and raises privacy concerns. So we decided to build our own on-device media search engine. How it works (high level): 1. We ingest video, audio, image; normalize formats via ffmpeg; run content analysis to…
Work · Aug 2026 · clipto.com
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
Astute▲606Automate your B2B brand going viral, with new media creators
AI · Aug 2026 · company-app.joinastute.com