Brifly – stop re-explaining your codebase to Claude Code every week

Hacker News

Hey HN -- I built Brifly because I was tired of reexplaining the same architecture to Claude Code/AI Agents every time. You can have a memory layer where you store everything about your company or project. When an AI agent is used by an engineer, you can simply ask it to use the CLI, and it will go and retrieve the relevant information. There is also management of who last edited a file, so you can understand who is responsible for the latest context level changes stored in Brifly. You can create different spaces, invite people to them, create threads for discussions, and add video and audio messages. By the way, transcriptions from video messages are also taken into account by the AI chat when you ask questions. I believe this is a great tool for teams, or even for solo users, especially when you have a lot of information and need to keep it updated all the time. There are also other cool features that can be useful. It is completely free, and if you need AI features, just add your OpenAI api key.

Visit product View on Hacker NewsApr 30, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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TrustMRRFits verified-revenue profile · Strong signals: video, users, way · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, audio · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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