"Claude, find me my next service business acquisition, make no mistakes"
Introducing the Scend MCP
Connect it to Claude or Codex and build a dataset of firms and contacts
Then describe workflows to:
- write to your CRM
- automate outbound
- and more
We built a way to DM the ENTIRE internet this Black Friday
Introducing Blueberry Social Broadcasts:
> Upload your email list
> Blueberry finds their Messenger profiles
> Send millions of DMs instantly to drive purchases
> 100% Meta-approved (zero spam/ban risk)
Brands like Mellow Sleep and Livfresh are already printing with it. And between now and BFCM, we’ll guarantee at least 3x ROI or your money back. 👇💸
"Claude, find me my next service business acquisition, make no mistakes"
Introducing the Scend MCP
Connect it to Claude or Codex and build a dataset of firms and contacts
Then describe workflows to:
- write to your CRM
- automate outbound
- and more
E2E tests break for two reasons: the product broke, or the test went stale.
Most frameworks can't tell the difference. So teams either burn hours triaging or start skipping tests.
We built @ShiplightAI to tell the difference. It's open to everyone today.
Today I’m excited to announce the public release of Scend
Over the last year, we’ve been working with private equity firms, investment banks, consulting firms, and search funds to power their market research and deal sourcing
M&A currently has a data problem
More than ever, PE is focused on acquiring and modernizing legacy businesses. The problem is that many of these firms have little to no data footprint. You won’t find them in legacy financial databases, and their founders often don’t have LinkedIn. So your ideal acquisition target will be in the long-tail of companies in the space; but it won’t exist in traditional finance databases that firms subscribe to.
Scend takes a different approach: it isn’t a database at all
Give Scend a prompt and it can generate any industry-specific dataset or research you can imagine. Each value is fetched and cited by an agent - so if you wanted to estimate the revenue of a dental clinic for example, it might:
1. find that clinic’s website
2. find the page listing out the number of staff members
3. multiply (headcount) x (industry multiple) to estimate revenue
4. then cite its sources and give its methodology
All to produce a single value in your dataset.
Our mission in building Scend is to give private-market investors the heavy duty research and data infrastructure that public market investors have had for decades
See what we built below 👇
Check out Scend's new deal sourcing platform (Origination)
It features:
• Smarter company search + dataset previews
• Cell-level enrichments
• The ability to stop long-running jobs
• 3–10x faster write speeds
You can now build datasets with more control and precision on how you spend your credits
Check it out at https://t.co/WDPCgq58Jt
New landing page who dis?
Today we launched a new version of our landing page to update our brand and copy around the defining benefit that users have been getting from our platform:
Scend finds the long-tail of companies that legacy providers miss
That's become our core positioning, and the new site reflects it.
Check it out here: https://t.co/WDPCgq58Jt
We built a release log that updates itself
Every code change that lands is analyzed by an agent and published to our site - so customers always know what's new, and where we're headed
→ https://t.co/iHG72ck8Qa