Prototype – build GraphQL backends without code

Hacker News

Hi HN, We're Rishabh, Aashish, and Noah, the creators of ProtoType: a platform for building GraphQL backends. You can check it out here: https://www.useprototype.com We were fed up with creating the same sort of APIs over and over again when building web applications so we built this tool for ourselves. As we're all in university, we showed it around to our friends and they enjoyed using it to kickstart their projects. After that, we thought we'd host it on a website and allow anybody to use it! ProtoType is different from similar GraphQL backend builders such as 8base in that it focuses on data modeling. All you need to do is model your data then hit deploy (no dealing with relational tables). Once you hit deploy, ProtoType will automatically generate and deploy a GraphQL server that supports your data models. On the roadmap is migrations, tutorials, roles/permissions, live server logs, and data metrics (how much your models are created, read, updated, and deleted). Looking forward to all of your feedback! The ProtoType team

Visit product View on Hacker NewsNov 5, 2019

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, using · 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: io · Missing: https docs, excited, just released

54%54% 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: supports, created · Missing: reddit linkedin, podcasting, latex

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, builder · Missing: plus, intuitive, reviews

49%49% 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

28%28% 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

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

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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