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Beolta

AI buyer-intent matching for IT service teams

Sales
Artificial Intelligence
Visit WebsiteSee on Product Hunt

Hunted byVictor LavrentyevVictor Lavrentyev

Beolta detects buyer-intent signals, matches companies with specialist IT teams, and delivers evidence-backed shortlists before a formal RFP. The ranking rewards fit and verified signals—not paid placement.

Top comment

Hi Product Hunt! We built Beolta because skilled IT teams should not have to depend on generic databases or spray-and-pray outreach to find the right work. Beolta watches public signals—from job posts and funding events to filings and registries—then matches companies with teams whose domain expertise, availability, and evidence fit the brief. Buyers receive a curated shortlist; teams get transparent insight into why a match happened. Paid plans unlock data depth, never better ranking. We are at the beginning of the journey and would love feedback from agency founders, dev shops, and anyone using signal data for better outbound. We are also speaking with pre-seed investors who care about B2B sales intelligence, data infrastructure, and fair marketplaces. Funding will broaden high-quality paid sources and make matching faster, deeper, and more precise.

Comment highlights

Love the approach of focusing on intent signals instead of who pays the most. One thing that would help me trust it more is showing why a company moved up or down in the ranking with a short note on which specific signal triggered the change.

Love the idea of skipping the RFP noise and getting straight to vetted teams. One thing that would really help: let companies save and compare past shortlists side by side, so we can see which criteria actually predicted a successful engagement over time. That kind of track record would build a lot of trust.

Love the no-paid-placement angle, that builds real trust right away. One thing I'd love to see is a "last verified" timestamp on each signal in the shortlist, so we can quickly gauge how fresh the intent data is when comparing candidates.

About Beolta on Product Hunt

AI buyer-intent matching for IT service teams

Beolta was submitted on Product Hunt and earned 9 upvotes and 4 comments, placing #140 on the daily leaderboard. Beolta detects buyer-intent signals, matches companies with specialist IT teams, and delivers evidence-backed shortlists before a formal RFP. The ranking rewards fit and verified signals—not paid placement.

Beolta was featured in Sales (21.9k followers) and Artificial Intelligence (473.7k followers) on Product Hunt. Together, these topics include over 117.2k products, making this a competitive space to launch in.

Who hunted Beolta?

Beolta was hunted by Victor Lavrentyev. 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.

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