WILMINGTON, DE — GitHits has raised $1.75 million in pre-seed funding and launched a beta version of its code-search platform as the startup seeks to address a growing challenge in artificial intelligence software development: inaccurate code generated by AI coding assistants.
The funding round included participation from Vendep Capital, Trind and several angel investors, including Peter Sarlin, Zach Shelby and LlamaIndex co-founder Jerry Liu. The company said the capital will support development of a platform designed to provide AI coding agents with access to open-source code repositories and software dependency information.
GitHits is entering a rapidly expanding market focused on supplying AI systems with external data and context to improve performance. The company argues that coding assistants often struggle when interacting with software frameworks, libraries and dependencies that exist outside a developer’s local codebase.
“Our vision is to index all public open-source code,” Chief Executive Officer Jaakko Timonen said. “With this funding, we are launching the beta version of the product today, and the first commercial version later this year.”
The startup’s platform is designed to help AI coding tools locate working open-source implementations, inspect dependencies and identify software vulnerabilities. The company is building what it describes as a version-aware index of public open-source code to provide context for AI agents during software development.
Chief Technology Officer Olli-Pekka Heinisuo said current AI coding tools perform well within a project’s existing codebase but often lack visibility into the broader software ecosystem.
“A large part of the system lives in frameworks, libraries, SDKs, and other open-source dependencies,” Heinisuo said. “Agents can’t inspect those nearly as well, so AI has to guess, and it produces code that looks correct but doesn’t work in practice.”
GitHits positions itself as complementary to AI coding assistants such as OpenAI’s Codex, Anthropic’s Claude Code and Cursor rather than a direct competitor. Heinisuo said the platform aims to reduce repeated AI query attempts and lower computing costs by providing more accurate code context.
The company was founded after Heinisuo identified recurring difficulties developers faced when searching for information related to open-source software while working at AI consulting firm Softlandia. He partnered with Timonen to spin the concept into a standalone company with support from the consulting firm.
The startup’s founding team includes four co-founders and is targeting a commercial product launch later this year.
Competition in AI search and retrieval remains intense. In May, U.S.-based AI search company Exa raised a $250 million Series C round at a reported $2.2 billion valuation to develop search infrastructure for AI agents. GitHits, however, is focused exclusively on code search rather than broader web-based AI retrieval.
“We’d been watching GitHits since it was just an idea, and what convinced us was the team that formed around it,” said Timo Felin, a partner at Vendep Capital. “At this stage, you invest in people, and this was an easy call.”
GitHits has released a free beta version of its command-line interface tool through Product Hunt at https://www.producthunt.com/products/githits.
Support the local news that supports Chester County. MyChesCo delivers reliable, fact-based reporting and essential community resources—free for everyone. If you value that, click here to become a patron today.