Person search API and Draftboard compete for similar users in Hiring. One pulled more initial interest. The other generated deeper discussions. Which metric matters more depends on what you're optimizing for.
Side-by-side comparison of Person search API and Draftboard based on community engagement data.
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Person search API and Draftboard compete for similar users in Hiring. One pulled more initial interest. The other generated deeper discussions. Which metric matters more depends on what you're optimizing for.
| Category | Person search API | Draftboard |
|---|---|---|
| API | Yes | - |
| Career | - | Yes |
| Community | - | Yes |
| Hiring | Yes | Yes |
| Sales | Yes | - |
Hi Product Hunt! I’m excited to help launch Crustdata (YC F24)'s newest product: The Person Search API. Think of it as the ultimate search for people data on the web for AI agents, platforms, and tools - comprehensive, targeted, and programmatic. With 60+ filters (and unlimited ways to combine them)...
Awesome 😎👍🏻 congrats on your launch 👏🏻 🎉 🥳
Annddd this is how you disrupt hiring platforms like Indeed. Perhaps there won't be a need for intermediary marketplaces anymore?
“What if I could productize my wife?” Hey PH community! 👋 I started Draftboard because my wife - who is not a recruiter - has gotten dozens of people jobs, and the most she ever received in thanks was a $30 bottle of wine (once). That’s insane. Especially when companies already have an amazing tool ...
Loving draftboard! Very cool that you're making referrals more accessible. Definitely trying to make more referrals through your platform.
Absolutely love it! This product is so ahead of its time. I love that everyone can make referrals and that companies get exposure to an undiscovered talent pool. A win-win situation If I ever saw one.
Person search API leads on raw interest score. Draftboard leads on engagement ratio. That split is worth paying attention to. Person search API attracted more initial eyeballs, but Draftboard's audience engaged deeper. For most buyers, engagement ratio is the better signal.
These products share 1 categories: Hiring. Moderate overlap suggests they target related but distinct use cases.
Person search API is also tagged in API, Sales, which Draftboard isn't. That suggests Person search API positions itself more broadly or targets an adjacent audience.
Draftboard has unique category tags in Career, Community. Different positioning can mean a different buyer profile, even within the same space.
Person search API launched Sep 2025. Draftboard launched Apr 2024. Draftboard is the veteran here. Person search API entered later, with the benefit of watching what worked and what didn't in the category.
Person search API has a 0.13 engagement ratio (below average), based on 110 discussion threads across 821 interest points. Low engagement relative to interest means the launch attracted clicks but not conversation. Could indicate the product appealed to a broad audience without hooking anyone deeply.
Draftboard has a 0.18 engagement ratio (average), based on 145 discussions across 804 interest points. Average engagement for the category. Solid but not exceptional.
Within the Hiring category (794 total products), Person search API ranks #2 and Draftboard ranks #3 by interest score. Person search API sits in the top 10 for the category.
Person search API is in the top 0% of Hiring by interest. Draftboard is in the top 0%.
Pick Person search API if you want the product with the larger community behind it; you prefer newer tools with fresher tech; you need something that also covers API.
Pick Draftboard if community size matters less to you than engagement depth; sustained discussion and active users are your priority; you value stability and a longer track record; you need something that also covers Career.
Person search API: The ultimate search for people data on the web for AI agents and platforms - comprehensive, targeted, and programmatic With 60+ filters (& unlimited ways to combine them), you can find exactly who you need to sell to, hire, or invest in with one API call
Draftboard: Companies pay referral bonuses for new hires, but only to their employees. Why? Draftboard is where companies make them public and claimable by anyone. Refer your network to jobs and get paid - it's that simple.
These products also compete in the Hiring category:
Bluelearn — The largest community of tomorrow's builders (Interest: 568, Engagement: 0.59)
Brainner — Automate resume screening with AI (Interest: 484, Engagement: 0.30)
Crewscale — Build and manage remote teams (Interest: 465, Engagement: 0.18)
Codei AI — Land your dream software job (Interest: 399, Engagement: 0.14)
Mock Interviews by Talently.ai — Prepare for any job interview with our AI interviewer (Interest: 353, Engagement: 0.27)
Lemon Hire — A platform of 80K+ vetted devs ready to interview within 48h (Interest: 300, Engagement: 0.86)
Not yet. Current comparisons use launch-period data only. Post-launch tracking is on our roadmap.
Generally, yes. Engagement ratio is hard to fake. A product can generate artificial interest, but sustained discussion threads require people who actually used the product and had something to say about it.
Automatically. We compare products that share at least one category and have similar interest scores. Products too far apart in traction don't make for useful comparisons.
No. Interest is launch-day attention. Engagement ratio is a better quality signal. The product with more discussions per interest point usually has stronger product-market fit.
How directly these products compete. Three or more shared categories means they're going after the same user. One shared category means they approach the space from different angles. Zero overlap and they probably shouldn't be compared.
Comparisons are generated automatically when two products have enough data overlap. If the pair you want isn't here, the products might be in different categories or too far apart in engagement.