Yaak – An open source, Git-friendly desktop API client

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Hi HN! I'm Greg and I've been working on Yaak for just over a year. I usually describe it as a Postman alternative since most developers are familiar with that, but it's targeted more toward users that just want an API client (no mocking, testing, spec design, etc). Having also created Insomnia for a similar purpose, I never thought I'd build another API client again. But, after selling Insomnia in 2019 and watching it expand into the broader feature set of Postman, I was left wanting a simpler tool again. Yaak was my answer to that. It's hard to describe how it's better than the 100 other API clients, since its main benefit is design, but there are a few stand-out features: - Optionally sync data to a local directory as plain-text, for use with Git/etc - Build and install plugins for authentication, template functions, or generic actions - Support for REST, GraphQL, WebSocket, server sent events, and gRPC Yaak requires a license for commercial use but this only applies when using the prebuilt binaries. If building from source, a license is not required. It's available for Mac, Windows, and Linux and the source is at https://github.com/mountain-loop/yaak I'd love to hear you think!

Visit product View on Hacker NewsFeb 26, 2025

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

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released

63%63% 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: friendly, users · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

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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