Storia AI
With AI increasingly automating away code generation, software engineers will spend more time reading, judging, and architecting code rather than writing it. Storia is building an open-source copilot that knows a company's codebase and its context. We are starting with Sage, a Perplexity-like agent for helping developers understand, judge, and generate software. Given an existing codebase, developers can ask Sage questions such as: 1) Given my project’s SLA and latency constraints, what is the a
Y Combinator
yc-company-directory #2842With AI increasingly automating away code generation, software engineers will spend more time reading, judging, and architecting code rather than writing it. Storia is building an open-source copilot that knows a company's codebase and its context. We are starting with Sage, a Perplexity-like agent for helping developers understand, judge, and generate software. Given an existing codebase, developers can ask Sage questions such as: 1) Given my project’s SLA and latency constraints, what is the a
sourceStoria AI is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Storia AI
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Sourcebot
match 75Sourcebot is an open source code understanding platform for massive codebases. We’re used by thousands of engineers in some of the largest companies in the world, including NVIDIA, Red Hat, Wikimedia, and Arista Networks. Understanding code, not writing it, is the primary bottleneck for large engineering teams. For developers, this means onboarding onto complex codebases faster. For AI agents, it means getting the necessary code context to minimize hallucinations and maximize cohesion within the
shared product terms: code, understand, codebase, engineer; shared product theme: context and memory, developer infrastructure, open source and local first; same category: AI agents; shared affiliation: Y Combinator
Glen
match 70Glen is unified context for every agent and human on your team. Most MCP tools hand an agent a slice, one Slack thread, a single diff, and leave it to stitch the rest together itself. Glen reads from where your work already lives, code and PRs, issues, docs, and meetings, reconciles it, and gives your agents the full picture instead. With Glen a coding agent knows why a line was written, not just what it says. Ask a PR assistant anything about a change and the clarifying-question relay disappear
shared product terms: context, read, code, know; shared product theme: context and memory, developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Datafold
match 67Datafold automates manual work in data engineering. We leverage agentic AI to automate both day-to-day tasks, such as testing and code reviews, and massive one-off projects, such as data platform code migrations. Companies from Perplexity to Disney use Datafold to unlock more value from their data by freeing up their data teams from manual work, accelerating developer velocity, and ensuring data quality.
shared extracted concept terms: perplexity; shared product terms: engineer, such, code, project; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Vibe Kanban
match 65As AI agents become more capable at writing code, developers are spending more of their time planning and reviewing what those agents produce. Vibe Kanban helps them do exactly that, seamlessly integrating with leading coding agents like Anthropic’s Claude Code and OpenAI’s Codex.
shared product terms: code, spend, time, writ; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
OneGrep
match 65OneGrep is a DevOps Agent that helps engineers automate manual devops tasks. It works across integrations that teams have to search, correlate, and operate automated tasks like runbook automation during incidents. OneGrep specializes across devops tools to help teams release code faster and more reliably so that engineers can spend more time building rather than being trained in bespoke tools like Observability, Ci/Cd, or Infra. Achintya and Brian are technical co-founders who have deep domain e
shared product terms: engineer, automat, like, code; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Invaria
match 62Invaria automates logging from code to storage. We make it possible to automatically add actionable, structured event logs across your entire codebase. OTel is automated instrumentation for the ideal world, Invaria is for everyone else. Invaria was founded by three engineers who know what good looks like when it comes to observability, but also know it's takes a lot of dev effort to do manually.
shared product terms: code, codebase, automat, engineer; shared product theme: developer infrastructure; shared affiliation: Y Combinator