Supaboost

What it does

Supaboost is built on top of three major cornerstones: - Supabase - Next.js - Lemon Squeezy With built in Auth, Realtime, Subscriptions and Server Side Rendering, you can set yourself up for immediate success!

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  Ship SaaS2021 · ▲205

  Premium Next.js and Supabase SaaS starter kit

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  NextBase SAAS Boilerplate2023 · ▲142

  Never waste time building boring pages and features

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  Suparepo2023 · ▲139

  The ultimate Next.js (App Router) and Supabase starter kit

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  supastarter for Next 132023 · ▲182

  The ultimate SaaS starter kit for Next 13

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  Serverless SaaS2021 · ▲222

  Building SaaS apps faster with React

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  supastarter2022 · ▲83

  The boilerplate for your next web app with supabase

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  Dograh▲592

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  Dev tools · 25d ago · dograh.com

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  Meridian▲530

  Don't let your work go unnoticed. Get promoted!

  Dev tools · 20d ago · meridiona.com

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  x1▲516

  Lovable for iPhone apps go from idea to App Store

  Dev tools · 11d ago · x1.new

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  The GTM Co-Founder▲402

  Open-source GTM skills for technical founders

  Dev tools · 29d ago · gtmcofounder.com

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  Nuphos▲380

  The AI-Native DevOps Workspace.

  Dev tools · 24d ago · nuphos.ai

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  Open-Source eInk Bike Computer▲375

  OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.

  Dev tools · 1d ago · opentrailpaper.com

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  Resend▲1,326

  Email for developers

  Dev tools · 2023 · resend.com

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  STORI AI▲1,320

  Your ideas become visually compelling branded social posts

  AI · 2023 · storiai.com

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  Kombai▲1,080

  A new AI model that you can prompt with UI designs

  AI · 2023 · kombai.com

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  User Persona Generator▲1,014

  Understand your audience without 50 interviews

  AI · 2023 · founderpal.ai

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  Lottielab▲871

  Create and ship lottie animations to sites and apps faster

  Dev tools · 2023 · lottielab.com

• LC
  LLMs can generate valid JSON 100% of the time▲854

  Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…

  AI · 2023 · github.com