Decipher AI (YC W24)
@decipher_ai
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Decipher writes and maintains high-coverage, self-healing tests. Plus, get alerted when customers hit bugs.
San Francisco, CA
Joined December 2023
Coding agents like cursor have 10x'd dev speed but test maintenance is the new velocity bottleneck Our computer use agent solves this. Just describe a test or change The agent: - Navigates the live application - Verifies the new requirements - Offers suggested
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Big news! 🚀 We’ve completely rebuilt the @decipher_ai issue monitoring dashboard from the ground up. It’s now easier than ever to cut through the noise and see the most important issues our agents have detected. ℹ️ Issue: The description of the issue. 📉 Impact: The exact
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The @decipher_ai team is cooking up something pretty amazing. Our goal: help teams make reliable E2E tests 10x faster with no maintenance.
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Introducing Coverage Reports at @decipher_ai Get a live, traffic-weighted map of what customers use vs. what your tests cover. It flags high-traffic gaps, prioritizes impact, and Decipher's agent drafts tests to raise coverage. Ship fast. Let Decipher handle the rest.
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I generated full coverage, E2E tests for my app in 15 minutes with an agent The agent: - watches user sessions to learn the product - generates test steps for important flows - runs playwright tests for those flows on every PR - auto-heals tests when the product changes
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🚀 Announcing Decipher’s AI Testing Suite! Teams are using more AI to ship faster, and most are accepting a quality trade-off that compounds over time. It will only get worse without guardrails. Our session-replay AI learns your real golden paths, writes your end-to-end tests,
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Couldn’t agree more with Linear’s zero bug policy. Striving for zero bugs isn’t perfectionism; it’s how you build great products. @decipher_ai exists to make a zero bug policy achievable while maintaining velocity. Our QA agent learns your UI and customer journeys, flags likely
Bugs don’t age well. If you’re going to fix them eventually, it’s always better to fix them now. That’s the simple idea behind our zero-bugs policy. → https://t.co/6zdeiJL86L
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Pumped to share a demo of a new Decipher feature we've been working on! Type a prompt like “loading issue on the replay page” and we group matching sessions, show repro steps, and alert. No more escalations from customers. Proactive, smart observability so teams ship faster.
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Here's the thing about bugs: 1/ Users don’t churn from rare outages; they churn from months of small bugs that block them from completing what they came to do. 2/ I was hitting this horrible bug on LinkedIn all week. While the bug likely affects hundreds or thousands of people,
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Not a good look for the payments backbone we all rely on If only there were a solution... *cough* @decipher_ai *cough*
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Decipher's new AI agents watch every customer session live, flagging bugs and frustrations and offering one‑click fixes. While AI coding has boosted dev speed, product monitoring has lagged. @decipher_ai closes the gap. https://t.co/gFlie7uVqq
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So excited about our ✨new website✨ Finally does the product justice :)
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Why wait? Get replay summaries, agentic issue detection, and insight discovery right now at
getdecipher.com
Decipher learns your product and writes reliable end-to-end tests on all your product flows. Plus get alerted when a bug hits production users.
once we have session replay summaries (v soon) these parties may convert to regular parties, alas!
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New blog: Unlock Growth by Understanding Your Silent Users Most product and eng teams depend heavily on explicit user feedback to guide their decisions. Support tickets, NPS surveys, user interviews, and feedback... Yet, there’s a critical gap many teams overlook 🙀
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fun fact: AI can make and analyze SaaS funnels for you Introducing Smart Funnels on @decipher_ai: 🔹Human-level steps (errors, form starts…) 🔹 VLM agents find patterns in behavior & fixes Startups & unicorns are already slashing churn & accelerating feat adoption. DM me!
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New blog post about the problem with traditional funnels by @_mrosenfield
https://t.co/ZCH6ng2LOj
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Being a Product Manager at Google taught me funnels are mostly BS. "Users churned after trial." Cool. But the real question: - Did they setup integrations? - Use core features? - Get blocked by permissions? AI can now watch full sessions to give funnels human-level insight
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We’re excited to bring Customer Deep Research directly onto your replays page. Our customers, fast-growing startups to unicorns, are already saving tons of times and getting incredibly useful insights! Here are some questions they’re asking:
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A fast-growing YC startup wanted to understand every pilot customers’ product engagement Took just 5 minutes They defined key behaviors and started tracking them with vision-language models - team invites - successful onboarding - running out of credits - feature usage
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