Re

Restfox – A web based HTTP client inspired by Insomnia and Postman

Hacker News

Restfox – A web based HTTP client inspired by Insomnia and Postman

Hey HN, I built this because I wanted a portable version of Insomnia I could access anywhere I am, without installing anything. The application is a PWA, so it will not load resources again after the first load, unless there's an update. It uses IndexedDB and loads quite fast even with a lot of nested requests and folders. Import from Postman and Insomnia is available making it easy to import your pre-existing request collections. Only limitation is that it only supports CORS enabled endpoints for now. I plan to add cors proxy support later on. There is of course the electron build ( https://github.com/flawiddsouza/Restfox/releases/tag/v0.0.1 ), which can be used to bypass cors but that kinda defeats the portability of the app but it is an option. GitHub repo: https://github.com/flawiddsouza/Restfox

Visit product View on Hacker NewsAug 31, 2022

Actual performance

3points

4comments

Did not reach leaderboard

Launch Intel predictions

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

29%29% 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

17%17% 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.

Incorrect prediction on native model

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