Overtone
SuperCollider
Sonic Pi
Strudel
Pure Data
VCV Rack
Glicol
Web Audio Studio
ThreadRecap
ThreadRecap turns WhatsApp exports into structured, timestamped reports you can act on or hand to someone else.
What it does
Who it is for
Solo professionals in real estate, HR, recruiting, law and client services who need a defensible record of what was agreed, plus anyone catching up on long work, family or community threads.
How it works
Export the chat from WhatsApp, upload the .zip or .txt, choose an analysis goal, get the report in seconds. No setup, no integration, no account for the other participants.
Pricing
Credit packs with no subscription required, plus an optional monthly plan for regular use. Free credits on signup.
Languages
English, Portuguese, Spanish, German, Italian and French.
Independent and bootstrapped, launched in January 2026.
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ThreadRecap's answer:
Most summarizers expect you to paste text. ThreadRecap takes the raw WhatsApp export, the .zip with thousands of messages and voice notes, and turns it into a timestamped record you can hand to someone else. Voice messages are transcribed and merged into the same timeline as the text, so a commitment made in a 4 minute audio at 11pm sits in date order next to everything else. The output is not a paragraph of prose. It is decisions, agreements, deadlines, responsibilities and quoted messages, in chronological order.
ThreadRecap's answer:
Generic AI assistants can summarize a chat you paste, but they hit token limits on long threads, ignore voice notes, and give you a different structure every time you ask. Chat statistics tools give you word clouds and message counts, which is not what you need when you are trying to prove what was agreed. ThreadRecap is built for the specific job of turning a full export into a structured, repeatable record. It works in six languages, needs no integration or account for the other participants, and you pay per analysis instead of subscribing.
ThreadRecap's answer:
Solo professionals and individuals who need to establish what was actually agreed in a conversation. In practice: real estate agents, recruiters and HR, small business owners, freelancers dealing with clients, and people documenting a personal dispute over a rental, a partnership or a family matter. A second, lighter audience uses it to catch up on long work or family group chats. Buyers are spread across more than 20 countries, led by the UK, the US, Italy and Switzerland.
ThreadRecap's answer:
It started as a personal tool. I kept receiving long voice notes and endless work threads, and wanted the main points without listening to everything again. I built the first version over a weekend and published it as a proof of concept, mostly to see whether anyone else cared. People did, but not for the reason I expected. Instead of catching up on chats, they were using it to document disputes, prove agreements and produce a record of what was said. That reframed the whole product, and the roadmap has followed the users ever since.
ThreadRecap's answer:
Next.js and React with TypeScript, Tailwind CSS, Node.js on the backend, deployed on Vercel. Voice note transcription uses OpenAI Whisper, analysis runs on large language models, and payments go through Stripe.
Based on our record, Overtone seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> I always wish I could replace the UI with my own embedded editor (emacs in my case) Consider his his older project instead? https://overtone.github.io/ He even used to perform using emacs before he created Sonic Pi. - Source: Hacker News / 30 days ago
When I last played with SuperCollider I used Overtone, that wraps everything in a Closure API. With that you use s-expressions instead of sclang to define your sounds. I am not sure what the state of Overtone is these days, but there seems to still be some activity: https://overtone.github.io/. - Source: Hacker News / 11 months ago
> Midi being an “artist” tool places it more as a medium like paint. I’ve used MIDI “as paint”. Written music using code to MIDI(1), and wrote “cross instrument” music, ie using my keyboard as drum machine. But these days MIDI is chiefly an archival method for me. Every time I touch my keyboard is recorded, is much smaller than a comparable audio recording, by design “forced fidelity” in the recording, and I am... - Source: Hacker News / over 2 years ago
You might want to look at Overtone, which is a clojure environment built on top of overtone, and which integrates with processing and a few other similar things. https://overtone.github.io/. - Source: Hacker News / over 3 years ago
> I'm fluent in Python but find the use of colons is the real sticking point. The you'd probably have hated its predecessor which was all about the parentheses: https://overtone.github.io/ It's too bad that superficial stuff like which characters you need to type is holding you back. Getting used to Ruby when you're familiar with Python is no big deal. I would just stick with it. - Source: Hacker News / almost 4 years ago
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Sonic Pi - Sonic Pi is a new kind of instrument for a new generation of musicians. It is simple to learn, powerful enough for live performances and free to download.
Strudel - Collect all photos in one album
Pure Data - Pd (aka Pure Data) is a real-time graphical programming environment for audio, video, and graphical...
VCV Rack - A cross-platform modular synthesizer.
Glicol - Graph-oriented live coding language and music/audio DSP library written in Rust