Lucent

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Lucent

Lucent

@lucent_ai

Automatically watch your session replays with AI. Trusted by @reductoai @browser_use @mastra @juliusai and 100+ leading product teams.

San Francisco, CA Katılım Nisan 2025
12 Takip Edilen1.3K Takipçiler
Lucent retweetledi
alisa rae .☘︎ ݁˖
alisa rae .☘︎ ݁˖@RaeAlisa_·
to celebrate 3 months since lauching @lucent_ai, we're giving away 5 Codex Pro / Claude Max plans 🎁 to enter, like this post + comment which one you'd pick (codex vs claude) winners will be selected from comments in 5 days 🫶
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Harsh Shandilya
Harsh Shandilya@LifeOfShandi·
people often think that the hardest problem to solve for any product intelligence tool is data pipeline or infra but instead the hardest thing to crack is how (rightfully) opinionated can you make your tool. you can show all the statistics on a dashboard and nobody would care but put a single valuable opinion and look at the product go to the moon. now i used to think that the opinions that our tool would have are my opinions(my team's) for a specific problem but lately i've realised that it's the wrong path. the right path is to actually make a product that gets opinions from the data it stores from real actual users. if onboarding A has more steps, is more annoying to complete, has a hard paywall, asks for a review, bla bla bla but it has a higher conversion rate(as per the sessions) than onboarding B which is much simpler and smaller, @lucent_ai must point that the better onboarding was A no matter what any human thinks. the next obvious question: how does the product really know when to form an opinion vs when to ignore when it sees a session? there is no right or wrong answer to this but we think of this problem a bit differently. its not about when to form an opinion vs when to ignore but rather its about in what medium is that data useful, to form an opinion. there must be one. the medium could be anything: aggregages: daily vs weekly features: bugs vs insights vs signalling end user: developers vs GTM every error, every successful session, every failed workflow has some magical insight hidden in it and we at @lucent_ai want to uncover it for you. come try us out(linked in the first comment) its free for the first 400 sessions btw.
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Harsh Shandilya
Harsh Shandilya@LifeOfShandi·
career update: i have taken upon myself to end the misery of watching session replays by joining @lucent_ai. we are living in incredible times where we are automating(sorry ik this is worse than he who must not be named in 2026) everything that we are doing but people still have to look through session replays to uncover bugs and insights. at the same time, vision and text models have gotten smart enough to really understand user intent. put the 2 & 2 together and you'll realise lucent is solving the most annoying problem with a super obvious solution: ai watches your user sessions. slacks you the bugs and insights. everything you need to know to grow your product. super excited to get to solve this at day 0. LFG
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Lucent
Lucent@lucent_ai·
NEW: Amplitude + Datadog integrations Collecting session replays in Amplitude or Datadog - but no one’s actually watching them? Lucent does it for you. Automatically surface bugs and user insights, and send them back to the tools your team already lives in.
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Lucent retweetledi
alisa rae .☘︎ ݁˖
alisa rae .☘︎ ݁˖@RaeAlisa_·
Introducing @lucent_ai MCP !! 🥰 Connect it to @claudeai, @cursor_ai, or any MCP-compatible client and your coding agent can pull bug reports, session context, and repro steps directly from Lucent. Demo:
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alisa rae .☘︎ ݁˖
alisa rae .☘︎ ݁˖@RaeAlisa_·
Lucent now works anywhere. Drop in our SDK and start recording sessions from any framework. Then AI watches them and finds bugs + UX insights automatically 🐛
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alisa rae .☘︎ ݁˖
alisa rae .☘︎ ݁˖@RaeAlisa_·
we built an AI product analyst that watches every session replay and delivers a weekly report on: - what’s broken - what’s frustrating users - what’s working well let me know if you'd like to try it :) @lucent_ai
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alisa rae .☘︎ ݁˖
alisa rae .☘︎ ݁˖@RaeAlisa_·
I’m hiring a founding engineer @lucent_ai !! - unlimited claude code credits - you know how to build and manage teams of coding agents - remote / sf (will sponsor O1/E3 visas) - $120-160k, 1-3% equity - bonus if you like watching session replays (or hate watching them and want to automate it with AI) comment/DM me your github ☺️
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Dom Sip
Dom Sip@dom_sipowicz·
AI removed the old bottleneck. Writing code is fast. The real challenge now is seeing what users actually hit in production and spotting the weird breakages that slip through. Lucent @lucent_ai nails this. It watches real sessions and surfaces the bugs and UX paper cuts that normally hide in hours of replay footage. Feels like running a 24/7 QA teammate on production. This will become standard in modern stacks. The demo says it all. This is 2026.
Y Combinator@ycombinator

Lucent (@lucent_ai) is an AI that automatically watches your session replays and finds bugs and UX issues. They’re already used by top product teams including Reducto, Julius, Finta, and Happenstance. Congrats on the launch, @RaeAlisa_! ycombinator.com/launches/Pfq-l…

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rahul
rahul@0interestrates·
cost of writing code and shipping new features is trending to zero and the new bottleneck is deciding what to build or fix
Y Combinator@ycombinator

Lucent (@lucent_ai) is an AI that automatically watches your session replays and finds bugs and UX issues. They’re already used by top product teams including Reducto, Julius, Finta, and Happenstance. Congrats on the launch, @RaeAlisa_! ycombinator.com/launches/Pfq-l…

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