Permify, Plug-&-Play Authorization API for Flexible Access Control

Hacker News

Hey Everyone, It's Firat from Permify. We have been building things for quite a while with my co-founders. We have failed a couple of times as well. Building so many products, we realized we had problem with a repetitive and overlooked part of product development. -Authorizations & Access Control- It's been a problem to manage roles, permissions, and access control for our apps. Whether it's for subscription tiers, or complex role management. There are 4 main reasons we frustrated; 1. Overwhelming to build complex & flexible access control. 2. User needs changes quickly. 3. Building access control is repetitive most of the time. 4. Maintenance is important, and usually overlooked. While working on full time with client projects, features and daily work. It was almost impossible to focus on access control. Also there are dozens of great solutions for Authentication, but not much for Authorizations. So, That's why we built Permify, it's an plug-&-play authorizations API, that makes your apps flexible with future-proof access control. Whether it's for custom roles, permissions, or subscription tier management. With Permify you can; - Built Authorizations & Access Control in minutes. - Create customer roles in seconds. - We have hosted UI where you can give your users an admin panel for custom roles. - Gate UI layers & Different Components on your apps for different subscription tiers. You can try Permify for free without a credit card, and we have a free tier as well :) I always love HN, yeah I had times when people were rude etc. But usually I found people willing give their best opinions and help me. So feel free to reach me out at firat@permify.co if you need higher plan, I can offer up to 6 months free trial for higher tiers. (Thanks to our AWS credits) Here's the link: https://permify.co

Visit product View on Hacker NewsDec 30, 2021

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

87%87% 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 · Strong signals: apps, user · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

36%36% 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: host, users · Missing: plus, platform, intuitive

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

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

23%23% 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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