hiloop launch: what they're building and where to launch next
What they're building
Autoresearch as a service: we solve your hardest measurable problems
Batch
Y Combinator Summer 2026
Industry
B2B
Team size
2
Based
San Francisco, CA, USA
Founders
- Karan Brar · Founder/CEO
- Thomas Boser · Founder/CTO
hiloop on the record
What they shipped
- From its YC profile: hiloop helps teams train agents for tasks where general models are not good enough. Give us a task, your current agent or model, and an evaluation. hiloop runs an autoresearch campaign across data, SFT and other post-training methods, continual learning, prompts, tools, harnesses, and systems, then returns the best verified improvement. It runs hosted or in your cloud. We provide the research system around models: persistent memory, full experiment lineage, compute orchestration, and statistical verification. We’re starting with agent and model training, continual learning, and optimization. (source)
- Its own site describes it as: "We turn a measurable target into thousands of directed experiments, and return a better model or algorithm. Post-training, optimization, synthetic RL environments, and signal processing." (source)
Who is behind it
- Karan Brar, Founder/CEO: Founder at hiloop (YC S26). Previously ML at Reducto, Head of ML Infra at DynamoAI. (source)
- Thomas Boser, Founder/CTO: Founder at hiloop. Previously engineer at Reducto, founding engineer at Crosswise, senior ML engineer at Discord, ML at Sentropy & SoFi. (source)
Timeline
- 2026: founded, per its YC profile. (source)
Other B2B software launches on FoxPlug
- Glen: Institutional Learning Layer for Every Agent in Your Company
- Graphify Labs: On-device knowledge graph engine for enterprises
- hardware intelligence: AI tools for the chips your AI runs on
Where else to launch hiloop
- 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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