Finding new customers takes way too long and most of that time goes into work nobody wants to do. So we built Tables. You write who you are looking for in normal language and Tables goes through 300M+ verified contacts, looks into each one and answers the questions you actually care about. You get a scored list with emails, phone numbers and the sources behind every answer, so you can check it. Syncs with HubSpot, Pipedrive and Attio, and works on LinkedIn and inside Claude.
Hi all, Jens here 👋👋
I'm one of the founders and I'm really excited about this launch.
We have been building Tables for a while now and it started with the pretty boring problem that finding new customers just takes way too long, and most of that time is spent on work that nobody actually wants to do.
So our philosophy is a bit backwards compared to most software companies because we think the more value you get and the less time you actually spend inside our platform, the better we're doing our job. Most tools want you in there all day but we would rather you type what you're looking for, get your list and go sell.
Let me know what you think :)
Really like the idea of showing the sources behind each answer - makes the data much easier to trust. Congrats on the launch! 🚀
Congratulations on the launch!
Is there a tutorial how it works with LinkedIn? And, is that database pre-built or it keeps updating it with each search?
98% contact accuracy is the number every lead data provider puts on the landing page, and it rarely matches what I see once a list actually gets loaded into a CRM and sent to. What I'd want to know is the bounce rate on a fresh export after 30 days, not on day one. The sources-behind-every-answer part is the more interesting bit though, most competitors just hand you a score with no way to check it yourself.
Jens, being able to just say who you are hoping to reach and get a genuinely useful shortlist back sounds like a much calmer way to spend the day. Really nice work.
is the works inside claude part an mcp server? asking bcoz i want to know if the per-answer sources come through there the same way.
About Tables.so on Product Hunt
“AI that finds, qualifies and enriches your next customer”
Tables.so launched on Product Hunt on September 8th, 2026 and earned 112 upvotes and 9 comments, placing #10 on the daily leaderboard. Finding new customers takes way too long and most of that time goes into work nobody wants to do. So we built Tables. You write who you are looking for in normal language and Tables goes through 300M+ verified contacts, looks into each one and answers the questions you actually care about. You get a scored list with emails, phone numbers and the sources behind every answer, so you can check it. Syncs with HubSpot, Pipedrive and Attio, and works on LinkedIn and inside Claude.
Tables.so was featured in Sales (22k followers), SaaS (44.1k followers) and Artificial Intelligence (478.1k followers) on Product Hunt. Together, these topics include over 186.2k products, making this a competitive space to launch in.
Who hunted Tables.so?
Tables.so was hunted by Jens Bjerregaard. 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.
Want to see how Tables.so stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jens Bjerregaard