Origami.chat
Find your perfect leads with one prompt
731 followers
Find your perfect leads with one prompt
731 followers
Provide a prompt and get your perfect leads. origami.chat has 100+ data sources - use it to find more of your perfect customers, enrich a CSV, or get decision makers. Try it out and get a lead list in seconds!
Origami.chat
👋 Hey Product Hunters, thanks for checking our launch ❤️
I’m Finn, Co-Founder of Origami. Today, we’re officially available for anyone to try!
Our path to building Origami started 5 years ago, when I launched my first cold outbound email agency.
Over time, we evolved to become one of the largest go-to-market (GTM) agencies, working with 250+ businesses to build custom high quality lead lists.
Our customers would pay us $5-10k/month to build lead lists for them, because it was just that difficult to do ultra high quality lead generation and enrichment.
Eventually, we asked ourselves: what if we could make this service available to anyone at a fraction of the cost?
That's the idea for Origami.
We want using Origami to feel like working with a $150k/yr "GTM Engineer” who understands every data source and won't stop until making you the best possible list.
Built with my best friend + cofounder Kenson Chung (who dropped out university, moved to the US, and was later kicked out of the US) and TODAY is the first day Origami is generally available.
I would absolutely love to know what you think of the tool, that's how we improve it! Try it out -> Origami.chat
I will read and reply to every single comment 🙌
@finn_mallery Love the positioning here — especially framing it as a “$150k/yr GTM Engineer in a box.”
The hard part of outbound was never just finding leads — it was building lists that were contextually correct. Founder-stage, hiring signals, tech stack alignment, funding recency, buying intent… that’s where most tools fall apart.
Curious how you’re thinking about:
Multi-layer filtering (e.g. “Seed-stage fintech founders hiring sales in UK who raised in last 6 months”)
Data freshness vs enrichment depth tradeoffs
Intent signal integration (job posts, product launches, hiring velocity, etc.)
Also interesting that your roots were high-ticket done-for-you. That usually creates very strong internal heuristics about what actually makes a good list.
Congrats on launch — will test it with a founder-raising use case.
@finn_mallery How have early users actually changed their sales funnel because of Origami?
Product Hunt
Origami.chat
@curiouskitty vague ICP is definitely the largest failure mode. If you're able to give a LOT of detail about your ICP, you won't go wrong
Congrats on the launch Origami.chat!!!
I'm a huge fan of tools that turn find my ICP from a week-long painful scrape-fest into a single prompt ahahah
How did you curate/train the 100+ data sources to keep accuracy high while avoiding noisy or outdated results? Any favorite tricks for real-time enrichment vs. cached data?
Also, do you have any plans to add outbound sequencing/integration down the line, or keeping it pure "prospect discovery + enrichment" for now?
Origami.chat
@cathcorm Yes great questions.
We specifically chose the data sources that we had used the most and that we found the highest quality from our days working with all these businesses as an agency.
All of our data is about as real-time as it gets, so we don't store any data. It's all being scraped/fetched live.
We don't have any outbound integrations right now. For now, people just export as a CSV, so we can stay focused on just continuing to make it the best list building product out there!
@finn_mallery thanks for your feedbacks!!
No outbound integrations yet + simple CSV export makes total sense for staying laser-focused on core list-building magic :)
If voice/video input ever fits into your workflow (e.g., quick verbal lead qualifiers or notes that feed into lists), I'd be stoked to brainstorm how Lissn could plug in.
The spreadsheet interface is a smart call, sales teams already live in them, you're meeting people where they are. How are you handling list deduplication when users pull from multiple sources in the same session?
Origami.chat
@hovhannes_h Great question. We actually have an exclusion list that you can upload leads or companies to!
Guys, Google Auth doesn't even work haha. Please fix this.
Origami.chat
@codewithguillaume hey thanks for the heads up. if you accept our linkedin request we'll send you a DM to get it sorted 🙏
@finn_mallery let's goooo my friend
Origami.chat
🚀🚀
Origami.chat
@masebuilds yes, our authentication provider was down for an hour until roughly 9am PST today - try again now!
Origami.chat
@masebuilds hah you're telling me man, classic outage timing right there
Love this direction — turning lead research into a prompt-driven workflow is exactly where modern outbound is going.
One thing I’d be curious about: how do you score data confidence per lead (source freshness + role match + email validity), and can teams filter by a minimum confidence threshold before export?
For B2B teams, that single layer usually decides whether this improves reply rate or just scales noise. Congrats on launch 👏
Origami.chat
@danielsinewe That's actually a great question. We generate a fit score for every lead. That's created based on any prompt that you provide and which leads best match that ICP that you're looking for. For any given enrichment that uses web research, we will provide a confidence level (whether low, medium, or high) that you can view if you open that column, and you can use if you export. So yes, you can absolutely filter by minimum confidence!
We also show our sources. If you click a column header, you can evaluate a source based on your own internal confidence with it. For example, Google Maps, Exa, etc.
Honestly, great thoughts. If you have any feedback on how we do the confidence or fit scoring, would love to see how we can improve it, so let me know how your usage goes.