avinash201199

A curated list of programs offering free credits, perks, and discounts for startups.

19
1
100% credibility
Found May 29, 2026 at 28 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A curated guide that helps startup founders discover and combine free credit programs, perks, and discounts from major technology companies to extend their runway and reduce costs.

How It Works

1
💸 Feeling the burn of startup costs

A startup founder is paying high monthly bills for cloud services, AI tools, and software and wishes there was a better way.

2
📋 Discover a curated list of startup programs

You find a community-curated guide that lists every major program offering free credits, perks, and discounts for new companies.

3
🗺️ Learn the smart order to apply

The guide shows you exactly which programs to apply for first, second, and third based on whether you have funding yet.

4
🚀 Apply to programs step by step

You start with free programs that take just minutes to join, then move to bigger credit tiers as your company grows.

5
Different paths for bootstrapped vs funded startups
🌱
No funding yet

Start with free NVIDIA membership, then Microsoft and Amazon self-serve tiers

💰
Got VC backing

Unlock $100K+ from Amazon and Google by showing your investor backing

🎉 Watch your credits add up

You stack thousands of dollars in free credits across cloud, AI, databases, and developer tools—extending your runway for months.

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Star Growth

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AI-Generated Review

What is awesome-startup-credits?

This is a curated list of startup credit programs, organized as a single README file. It aggregates offers from cloud providers like AWS, Azure, and Google Cloud alongside AI API credits from Anthropic and OpenAI, developer tool discounts, database credits, and fintech perks. The list includes eligibility requirements, credit amounts, and application notes for each program. It also provides a stacking strategy section showing how founders can sequence applications to maximize runway without VC backing.

Why is it gaining traction?

The pitch is direct: founders are leaving significant money on the table by not knowing about these programs. The stacking strategy section is particularly useful, showing how to claim $25K-$40K in credits before any funding round. The disclaimer about credit amounts changing frequently shows awareness of maintenance challenges. The contributor guidelines require official sources before adding new programs, which helps keep the list grounded.

Who should use this?

Early-stage founders and bootstrapped developers evaluating startup credit programs. Pre-seed founders using Mercury or Brex to unlock cascading partner deals. Technical co-founders building AI products who need inference credits from Anthropic or OpenAI. Anyone incorporating via Stripe Atlas who wants to understand the downstream credit implications.

Verdict

This is a useful reference for founders who already know they need startup credits but want a consolidated view of available programs. However, with only 19 stars and a 1.0% credibility score, the list lacks community validation and may become outdated quickly since credit terms change frequently. Verify all amounts directly with providers before applying.

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