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Build production grade web applications with authentication and GraphQL

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Build production grade web applications with authentication and GraphQL

Rocketgraph is a complete backend. Think of it like Firebase, but much better and open-sourced. 1. AWS RDS Postgres Database with 20 GB storage. 2. Hasura Console(SSL enabled deployment) to GraphQLise the Postgres DB and write granular level authorisation rules. It also provides realtime functionality so you can “subscribe” to your data however you like. Combine this with the authorisation rules and ensure that there is no data leak. 3. Hasura Batteries to manage Authentication with email/password, social and otp. It’s open-sourced. 4. Serverless functions to write additional backend code. All commits to your Github repo are picked up by our bot and compiled as thin AWS Lambdas. I wrote a ton of tutorials and videos to help you get started with Rocketgraph. It’s free for 1 week without CC. You can build production grade web applications in minutes with Auth, DB and Realtime right out of the box.

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, code, open · Missing: mac, agents, macos
90%90% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
83%83% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% 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
14%14% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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