Lucent

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Lucent watches your session replays so you don't have to. Every bug caught. Every UX issue flagged. Steps to reproduce, straight to Slack. Connects with PostHog, Amplitude, Sentry, and Datadog in minutes. Or drop in the SDK. Sign up for free without a credit card.

my go to tools stack for product building as a dev: 1. coding: codex 2. logging: sentry 3. design: claude design, magicpatterns 4. research: claude deep research 5. deployment: vercel, render 6. sandboxes: modal 7. session replays: lucent 8. db: supabase, convex 9. frontend components: shadcn 10. skills: skills(dot)sh 11. documentation: mintlify 12. ui inspo: mobbin, variant 13. project management: linear 14. long running workflows: inngest 15. product analytics: posthog 16. comms: slack

happy users happy life

you can now analyze mobile session replays in @lucent_ai :)

big things coming

mom we did it

come join us 🫶

@michlimlim @posthog chat w @raealisa her product helps w this and highly recommend

I tried a lot of tools that help you to watch session replays and flag bugs! Kudos to @raealisa on Lucent - the first product I’ve tried that actually works!

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.

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

@LifeOfShandi LFG 🫡 welcome Harsh!!

Try it here: lucenthq.com

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.

demo day w26 🧡

@Fondocom @raealisa lfg

🚀 @lucent_ai launched! AI That Automatically Watches Your Session Replays "See every bug your users experience" 🌐 fondo.ai/3PgeDBB Congrats @raealisa!!

hey that’s our founder