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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.
Next.js
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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.
Next.js has become the de-facto standard for our frontend engineering team when building modern web applications. The Server-Side Rendering (SSR) and Static Site Generation (SSG) are absolutely essential for our product's SEO strategy and fast indexing.
The transition to the App Router initially required a paradigm shift for our developers, but it ultimately made our architecture much more scalable. We love that the framework handles the heavy lifting—image optimization, code splitting, and routing—allowing our team to focus purely on business logic. It provides a phenomenal Developer Experience that keeps our deployment cycles fast and predictable.
Based on our record, Next.js seems to be more popular. It has been mentiond 1145 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.
In this article, we’ll look at how to approach these problems in a Next.js application using the App Router. Rather than focusing on the basics of translating strings, we’ll focus on the technical decisions behind the implementation: how the language is detected, how it’s propagated through the application, how translations are loaded on the server and client, and how localized routes are handled. - Source: dev.to / 9 days ago
We set up three near-identical Next.js 16 projects to answer a simple question: if you set a browserslist target in package.json, does the build change to match it? We tested three targets (ie 11, chrome 116, about 3 years old, and chrome 139, about 1 year old) and compared the compiled output byte by byte. - Source: dev.to / 6 days ago
Blurring of the lines. React Server Components (RSC) and associated frameworks such as NextJS involve code executing on both server and client, while HTMX focuses on markup and emphasises use of full-stack/backend templating engines to generate code targetting the browser. Working with these new tools blurs the distinction between the front end and back end skill set. - Source: dev.to / 18 days ago
What replaced the laptop, before we get to the schema: Health Auto Export now posts straight to a Vercel function on a daily schedule, a scheduled job pulls lifting history from Liftosaur, and both land in TimescaleDB on Tiger Cloud. No files, no iCloud, no Mac. A Next.js app reads it and tells me whether I hit protein, which is a separate post. - Source: dev.to / 19 days ago
This guide shows you how to install and use the Shadcn Checkbox component in React and Next.js. - Source: dev.to / about 2 months ago
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