Lookup turns raw footage into structured answers, proof clips, and automations with just a few lines of code. From counting people to compliance checks, it makes video searchable and programmable—this will help any app see.
I’m Ajay, co-founder of Lookup, and today we’re launching.
The problem:
Most vision products are narrow. They optimize for one thing — safety, checkout, traffic — and stop there. But vision is only valuable when it’s inside another product. As a superpower.
If you’re a dev or PM, you don’t want a “vision startup.”
You want your app to see. So it can improve metrics and outcomes on its own.
What Lookup does:
👉 Upload or connect video
👉 Ask a question in plain English
👉 Get structured answers — counts, timelines, events — with proof clips you can trust.
We hide the heavy lifting (detection, tracking, reasoning). You just call the API.
How it works:
Lookup runs a cascade of models (motion → detection → video-language).
We store results in:
– Object DB: what + where
– Temporal DB: when + order
Together, video becomes queryable like a database. See once, remember forever.
Who it’s for:
⚡ Product / FDE / Dev teams — add “eyes” to your app, build your app workflow on top of vision.
Why now: Cameras are everywhere. Storage is cheap. What’s missing is a layer that makes video useful for any product. Lookup is that layer.
Who we are:
We’re second-time founders in video AI.
– At OurEye.ai (YC W22) we scaled to 1,500+ deployments.
– At AvairSense, our AI camera hit 1,000+ homes.
We learned one thing: computer vision only wins when it disappears into the workflow. Lookup is that lesson, turned into a platform.
Playground:
Try it yourself. Upload a video, ask questions, see answers. No training. No labeling. Just truth from video.
Lookup launched on Product Hunt on September 23rd, 2025 and earned 146 upvotes and 40 comments, placing #8 on the daily leaderboard. Lookup turns raw footage into structured answers, proof clips, and automations with just a few lines of code. From counting people to compliance checks, it makes video searchable and programmable—this will help any app see.
On the analytics side, Lookup competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Lookup performed against the three products that launched closest to it on the same day.
Who hunted Lookup?
Lookup was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Lookup including community comment highlights and product details, visit the product overview.
Rohan Chaubey
👋 Hey Product Hunt!
I’m Ajay, co-founder of Lookup, and today we’re launching.
The problem:
Most vision products are narrow. They optimize for one thing — safety, checkout, traffic — and stop there. But vision is only valuable when it’s inside another product. As a superpower.
If you’re a dev or PM, you don’t want a “vision startup.”
You want your app to see. So it can improve metrics and outcomes on its own.
What Lookup does:
👉 Upload or connect video
👉 Ask a question in plain English
👉 Get structured answers — counts, timelines, events — with proof clips you can trust.
We hide the heavy lifting (detection, tracking, reasoning). You just call the API.
How it works:
Lookup runs a cascade of models (motion → detection → video-language).
We store results in:
– Object DB: what + where
– Temporal DB: when + order
Together, video becomes queryable like a database. See once, remember forever.
Who it’s for:
⚡ Product / FDE / Dev teams — add “eyes” to your app, build your app workflow on top of vision.
Why now: Cameras are everywhere. Storage is cheap. What’s missing is a layer that makes video useful for any product. Lookup is that layer.
Who we are:
We’re second-time founders in video AI.
– At OurEye.ai (YC W22) we scaled to 1,500+ deployments.
– At AvairSense, our AI camera hit 1,000+ homes.
We learned one thing: computer vision only wins when it disappears into the workflow. Lookup is that lesson, turned into a platform.
Playground:
Try it yourself. Upload a video, ask questions, see answers. No training. No labeling. Just truth from video.
👉 If your app could see, what would you build?
We’d love to hear. 🚀
Shoutout to @thisiskp_ for hunting us. Also @zaczuo and @rohanrecommends for the help.