Hey friends 👋

In today's article, we will dive into the open-source startups YC has invested in 2024.

If you have never heard of YC (though I'm sure you have 😉), here is some background context. 👇

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Launched in March 2005, Y Combinator (YC) is arguably the most successful pre-seed fund in the world. In its 19 year run, it has backed legendary companies such as Gitlab, Airbnb, Stripe, Reddit, Twitch, Instacart and more.

Since its inception, the accelerator program has backed over 4,000 companies!

With over 150+ investments in open-source startups, Y Combinator has always been a big proponent of the open-source space. You can find all the repositories of OS startups they have ever invested in here.

More recently, YC released their 2024 Requests for Startups , a post describing the various industries/ideas YC is interested in backing.

In their post, they invite founders to consider building commercial open-source companies as "it is a great way for startups to become mature and sell to enterprises a lot sooner." 🧑‍💻

This article will thus reveal the open-source start-ups YC invested in the Winter-2024 batch (aka Jan-2024 till now).

✍️ Note: Where applicable, we have added a Contributor's Corner. This section contains some useful stats for readers who may be interested in contributing to these repos. 🙂

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Million.js

• Million.js is an open-source tool that makes React.js 70% faster.

• It fixes performance issues automatically, with no migration.

• Million.js's goal is to make all applications automatically fast, starting from front end to back end and eventually working towards mobile apps & infrastructure.

🏗️ Contributor's Corner:

• ~14k stars with ~70% of the repo written in TS.
• With 28 issues, a significant portion focuses on documentation.
• Maintainers have a 100% reply rate for their issues.

You can find their repo on GitHub here.

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Quivr

• Quivr is an AI platform where enterprises can connect their tools, docs, APIs, and databases with the objective of building a unified database.

• The app can be deployed to the cloud or self-hosted on existing infrastructure to answer data privacy concerns.

• You can retrieve any available information, and Quivr generates new usable content.

👷 Contributor's Corner:

• ~28,600 stars with ~50% of the repo in TS and ~40% in Python.
• ~80 issues, the majority focuses on enhancement, backend and frontend.
• Maintainers have a ~95% reply rate for their issues.

You can find their repo on GitHub here.

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Corefin

• Corefin is a lending software that allows anyone to build and launch loan products quickly.

• Corefin has a built-in package to create a compliant lending service.

• The main features include loan management, payments, loan servicing, and robust reporting services.

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Titan

• Titan is a data security platform for Snowflake.

• Data engineering teams trust Titan to simplify access management, ensure compliance, and minimise risk.

• Features include role-based access, secure change management, regulatory compliance-as-code and risk monitoring & audit.

🧑‍💻 Contributor's Corner:

• ~300 stars, the repo is entirely written using Python.
• 3 issues, with 2 labelled as bug.
• Maintainers have a median reply rate of 86%, with a response time of ~21 hours.

You can find their repo on GitHub here.

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Superagent.sh

• Superagent helps developers deploy AI-agents to the cloud.

• Configure your agent with no code, improve your agent in real-time, and embed the agent into your application using Superagent's API or SDKs.

• Features include support for OpenAI/Superagent Assistants, multi-agent collaboration, advanced retrieval & analysis and external API Connectivity.

🧱 Contributor's Corner:

• ~3,800 stars with ~60% of the repo in TypeScript and ~40% in Python.
• ~40 issues, with the majority focused on enhancement.
• Maintainers brought in 4 new contributors in the last month.

You can find their repo on GitHub here.

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nCompass

• nCompass is a platform for accelerating and hosting open-source and custom AI models.

• nCompass provides low-latency AI deployment without rate-limiting you — all with just one line of code.

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Lantern

• Lantern helps you build AI applications using Postgres.

• Lantern allows companies to tap into their unstructured data to build better applications.

• Lantern Cloud provides devs with tools, built on Postgres, necessary for creating AI applications, including embedding generation, vector search, and indexing.

🔨 Contributor's Corner:

• ~600 stars, the repo is mainly written in C (~60%). The rest is written in PLpgSQL.
• 25 issues, including 4 labelled as good-first-issues.
• The median merge time is ~1 day.

You can find their repo on GitHub here.

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Danswer

• Danswer is the AI assistant that connects all your company tools and docs.

• Access your company's documents and efficiently query anything you want.

• Danswer is self-hosted and enables you to set it up in your VPC in less than 30 minutes.

🚧 Contributor's Corner:

• ~8,800 stars with an equal split between Python and TS.
• ~135 issues, including 10 labelled as good-first-issues.
• Maintainers brought in 4 new contributors in the last month.

You can find their repo on GitHub here.

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With the explosion of LLMs and the race for innovation in the AI world, it is unsurprising that a significant portion of this year's batch is focused on AI-related projects.

We hope you enjoyed finding out about all the latest open-source investments made by YC. 👾

If you enjoyed this piece, please feel free to give it a like and share it with your network!

Also, please consider staring the above repos. We are not associated with them, we simply think that great projects deserve great recognition!

See you next week,

Your Dev.to buddy 💚

Bap

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