Tracer launch: what they're building and where to launch next
What they're building
Combining open-source AI models for better answers at lower cost
Batch
Y Combinator Summer 2026
Industry
B2B
Team size
1
Based
San Francisco, CA, USA
Founders
- Adam Rida · Founder/CEO
Tracer on the record
What they shipped
- From its YC profile: Tracer is an AI research lab building more capable and efficient AI through model coordination. We research adaptive inference, ensembling, and systems in which multiple open-source models work together to produce capabilities beyond any single model. Our work spans reasoning, code, research, and agentic systems, with the goal of making advanced intelligence more accessible and economical. (source)
- Its own site describes it as: "Tracer is a YC-backed research lab helping AI teams get better performance per token through intelligence allocation and coordination. Echo is our latest product." (source)
Who is behind it
- Adam Rida, Founder/CEO: I’m the founder of Tracer (S26), an AI research lab building more capable and efficient intelligence by coordinating open-source models. Before Tracer, I built DeepRecall solo to €100k ARR in three months, scanning 100k+ marketplace products per day for product-safety risks. My background is in applied machine learning and explainable AI. (source)
Timeline
- 2026: founded, per its YC profile. (source)
Other B2B software launches on FoxPlug
- HyperProbe: AI engineer that fixes production issues on its own
- Inkbox: The identity and communication layer for AI agents
- Kebra: Making the field queryable
Where else to launch Tracer
- Product Hunt ↗
- Hacker News (Show HN) ↗Audience: Hacker News readers; engineers, technical founders, infra-curious people
- Indie Hackers Forum ↗Audience: IndieHackers; bootstrapped solo founders sharing revenue and behind-the-scenes
- Demand Curve ↗Audience: Slack community; tight-knit, pseudo-private peer group
- Dev Hunt ↗
- No Code Founders ↗Audience: Slack community; tight-knit, pseudo-private peer group
- OnlineGeniuses ↗Audience: Slack community; tight-knit, pseudo-private peer group
- Product Makers ↗Audience: Slack community; tight-knit, pseudo-private peer group
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