Pirsch Analytics
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ThreadRecap
Pirsch is a simple, privacy-friendly, open-source alternative to Google Analytics — lightweight, cookie-free and easily integrated into any website or directly into your backend
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.
Pirsch Analytics ThreadRecapThreadRecap'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.
After trying many analytics tools, only Pirsch met my needs. Pirsch is the most complete, beautiful and affordable analytics solution out there.
Based on our record, Pirsch Analytics seems to be more popular. It has been mentiond 29 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.
- And much more It feels kinda crazy that I've been working on this project for more than 5 years now and it's still exciting :) [0] https://github.com/pirsch-analytics/pirsch (v7 is the new branch) [1] https://pirsch.io/. - Source: Hacker News / 3 months ago
You can find a nice list of privacy-respecting analytics tools on European Alternatives [0], including mine, Pirsch [1]. I've been in this space for ~3 1/2 years, so if you have any questions, please let me know :) [0] https://european-alternatives.eu/category/web-analytics-services [1] https://pirsch.io. - Source: Hacker News / over 1 year ago
We've been using Hetzner for years for Pirsch [0] now, and so far we had a great experience. I migrated all of our data from AWS S3 to their new object storage without issues. We only use it for user pictures and small files (white-labeling logos and such). This is one of the rare cases where AWS is actually cheaper for us. It's probably more worth it if you have a lot of data. The only thing we're missing now is... - Source: Hacker News / almost 2 years ago
I've been running Pirsch [0] on Hetzner Cloud for 3 1/2 years now on a self-hosted HashiCorp Nomad cluster. It has been super stable and very cost-effective. The Hetzner VMs are really cheap and a lot more capable at the same time. You can find everything on our blog article [1]. In front of it are two Caddy load balancers, also running on VMs (Hetzner offers load balancers, but we wanted to support custom domains... - Source: Hacker News / about 2 years ago
I was also looking for server-side analytics, created my own, and now it's a product! The idea is that tracking can be done from both, a JS snippet (for easy integration) and an API. Both rely on fingerprinting and almost provide the same set of features. The API just lacks screen resolution. The method is GDPR (and CCPA and whatnot) compliant. Original article:... - Source: Hacker News / over 2 years ago
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