Realtime company and people search APIs for AI agents.
Build your AI agents for sales, recruiting and investment in seconds with APIs trusted by 500+ companies
You can now watch every single lead on the internet, 24/7
Introducing Crustdata Watcher
=> Tracks job changes, raises, hiring and posts across the web
=> Describe your ICP in one sentence, it watches every match
=> Alerts land in Slack, email or your CRM in real time
=> Pay only per successful result
Try it for free at: https://t.co/HcSdYiH4hV
we hit $10m ARR!
here's everything we learned going from $1M to $10M in 18 months:
1) new ICPs - we ran some experiments and found two new buyers (big ticket) - recruiting firms and founders of series A and B (GTM white glove). we were originally powering the ISVs (think the AI SDRs and AI recruiters of the world) but found going straight to the buyers we could sell much more deals and at much higher ACVs
2) FDEs - we have a technical product. not having the knowledge to properly sell was slowing us down. But true technical sellers are a rarity, our FDEs are deployed post-call and support customers, but they also join calls and help close deals with data pulls, analysis, installing Skills, etc. It's similar to solutions engineer, but touching the prospect/customer during the whole process
3) self-serve - we launched self serve a few months ago - biggest contribution has been straight revenue, but hope to tighten the system so the funnel to AEs and big contracts moves the needle more than the actual revenue from direct sign ups
4) segmentation of sales - we started segmenting by size. our fastest, most efficient AE takes 'smaller/mid-sized' opps and other AEs that aren't enthused with the small tickets are able to go after bigger customers. we did this relatively early, but still not early enough. this is huge.
5) white glove - GTM white glove is a revelation. the pull is insane. The learning is customers and the population are disenchated with AI and automation promises. they haven't worked end to end - you still need a human to set up and run different steps - helped with models and good data (us). we started offering GTM white glove to help people set up their entire gtm - and get inbound leads through post creation and outbound leads through targeting and massive email sends
we did all of the above while staying relatively small - more and more of my time goes into recruiting as we hit scale, my co-founder flew to Japan for a week just to close
We just launched the most accurate person search API
For 2 years we built filter-based search, but as we build more and more for AI agents, our ML engineering team spent the last months building out our Semantic Search capability
Get your API key today and try it out yourself - link in the comments
Anthropic built a 573-person sales & GTM org in 18 months.
We analyzed the profiles of every single one of them using the Crustdata API:
→ Anthropic's #1 sales recruiting pipeline is Salesforce (49 hires)
→ 201 are working under the role "GTM"
→ 69 are focused on enterprise accounts, 30 on startups and digital natives, 23 on public sector, only 5 on small business
→ 32 people cover financial services, 17 healthcare and life sciences
→ 63 work in strategy, operations and enablement
→ 170 of the 573 held a VP, Head-of or Director position at their previous company
→ 349 of the 573 joined in the first six months of 2026
Yad is on the judging panel at #c0mpiled in Osaka today, representing Crustdata at the c0mpiled AI Hackathon 🇯🇵
Incredible energy where teams are shipping their products using @garrytan's GStack + GBrain
We're proud to back every team with free Crustdata API credits as they build - and can't wait to see what they ship 👀
My favorite marketing emails right now are from @crustdata
They sell enrichment, but their emails are about hiring and turnover in AI labs
They're a fun read, and build confidence in the product without selling it directly
(@tryramp and @grid_status do very similar!)
Finished 4th at the YC x Crustdata hackathon last Sunday!
We developed Lumen, a fundraising intelligence tool designed for founders seeking potential investors to fund their companies. Lumen matches and ranks investors based on in-depth analysis.
Although several similar tools exist, what sets Lumen apart is its reliance on relevant data. The process involves multiple steps:
- Gathering comprehensive information about the company and founder from the Crustdata APIs
- Conducting a competitive analysis
- Identifying relevant venture capitalists (VCs) in your sector using our in-built database
- Profiling VC partners
- Assessing the current interest of firms through their social activities
- Finally, ranking and matching VCs based on relevance
We take into account factors such as whether the firm is actively investing, if they invest at your current stage, whether they have a similar company in their portfolio (only in cases of direct competition), and the VC's social alignment with the founder.
Let me know if you’d like to try it out!