Integuru
Integrate with platforms via the source code
Details
- External ID
- 48323417
- Source
- HN
- Company
- —
- Product
- Integuru ⚡️ Generate fast, reliable APIs for any platform
- Website domain
- integuru.com
- Launched
- May 29, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.4168012924071082
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
Hey HN! We’re Alan and Richard from Integuru (YC W24). We generate fast, reliable integrations for platforms lacking official APIs. About 2 years ago, we released the first agent that reverse-engineers network traffic to build integrations (https://github.com/Integuru-AI/Integuru). Since then, we’ve developed a new approach to reverse-engineer platforms’ source code directly. This solution also includes authentication support. Here’s a demo: https://youtu.be/4l2L8fILC2g?si=nbWbDiFrWZIWRPM7.Many AI products need to integrate with web apps, but platforms often lack official APIs. So far, there are two main ways to integrate: browser automation and via network requests. We set out to build the original agent because we ourselves suffered from RPA’s latency, reliability, and throughput issues. The original agent solved many of the prior issues, but it wasn’t perfect either.The original agent did things the obvious way: (1) have a human do the action; (2) the agent observes the network requests and (3) recreates them.That got us far, but it only supported the path the user triggered. In production, we saw all the uncovered cases: different states, missing fields, permission differences, hidden validations, and request changes we could never catch in a single run. So we started building a new solution from the ground up.Our first step was to add agents that trigger many variations of the same action. To protect the platform’s data integrity, we added a gating layer that blocks outbound requests. This lets us observe the exact request structure, branching behavior, and platform logic without accidentally mutating the live system.But this still wasn’t enough. Some logic is hard to surface by execution alone. A lot of the business rules live in the frontend bundle. So we set out to analyze the true “answer sheet” for each platform: the source code. After experimenting, we got this working. We built a source-code analysis layer that deobfuscates and traces the code associated with each action. In practical terms, our system can handle most tricky edge cases without triggering all flows.Together, these two layers result in much better coverage of the production surface area. They support more edge cases, fail less often, and avoid a lot of the brittle one-off fixes that usually come later.Finally, we added auto-healing and API doc generation to improve reliability and the UX. We also offer a 24/7 on-call maintenance team for companies on the production plan.We now spend most of our time supporting vertical AI companies and helping them connect to their customer systems. We offer a free plan for integrating with one platform and charge for additional platforms, accounts, and overage API calls. For instance, we help healthcare AI companies connect to EHRs and payer portals, and logistics companies connect to TMSs and ERPs. Some companies are now running more than 1M monthly requests per platform. Across our production users, API calls complete in ~3 seconds at 99.9%+ success rate on average. We’re also building a library of APIs that users can use out of the box.That said, this version still has limitations we want to iterate on. Although we already tackle some anti-bot mechanisms, the agent still struggles to generate integrations with heavily anti-botted platforms. When the agent fails, our on-call team steps in to improve the agent or build the integration manually if the customer requests it. Also, the UX for generating an integration is still quite manual. Our next step is to build a CLI experience, so people and their agents can create, test, and use integrations in a much more flexible manner. This also prevents humans from having to wait for Integuru to finish its tasks.We want to one day allow developers and agents to integrate with all platforms instantly.Integuru is an ongoing effort. We’re passionate about automating integrations and would love your feedback!
Enrichment
- Theme
- browser automation and scraping for AI
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Commercial product
- Normalized one-liner
- platform integration via source code
- Manually corrected
- False
Could you build this?
No Automatically reverse-engineering undocumented platform APIs from compiled web/mobile traffic without running headless browsers requires deep protocol analysis and anti-bot mitigation expertise.
What it would actually take: A production version requires automated traffic interception, AST analysis to trace client request signing routines, and protocol decoders for binary payloads like Protobuf and gRPC-web. It also necessitates high-performance client emulators that mimic TLS and browser fingerprints to bypass Cloudflare, Akamai, and WAF protections at scale. The stack relies on low-level networking in Go or Rust paired with specialized reverse-engineering pipelines.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one — 238 launches clear the similarity bar, closest 8 shown.
Attention rank: #142 of 239 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 206 days after the earliest competitor.
- Integuru · ph · 2026-05-29 · 161 upvotes · similarity 0.61
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- Orthogonal · hn · 2026-09-01 · 12 upvotes · similarity 0.42
- Amika · hn · 2026-09-15 · 7 upvotes · similarity 0.41
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