Jake G.

hey Pau L. i can help out - give me a little while and i'll get back to you, feel free to add a screenshot here of your current setup in the meantime 🙂

Hey, you do you already have the URL to the repo? GitHub has a pretty robust API which you can use to pull in the data you need to Clay. What will your starting point be for each contributor that will allow you to find their LinkedIn profile? Just company name + full name or something else?

Curious, what were the use cases you thought would be possible that don't seem close?

At least you're not stuck in the valley of despair! 😆 I'd say it's pretty good going to go from 0 -> 1 in the time you have. As for how possible it is to get a clean flow setup and singing - it's totally possible. I think your assessment is totally fair. You gotta stick at it. When I got started I stared at this big blank spreadsheet not knowing what to do, or what could be done. Classic thing of not knowing what you don't know. Luckily, clay university + cohorts have a bunch of useful content which can really speed up the process.

Hope this helps!

Use send table data to write your data to another table. Then you can dedupe the second table by company name or domain, without worrying about data loss. Then you can run your company enrichments in your unique companies table, and use the 'lookup single row in other table' enrichment back in your people table to pull the data back in to your people table.

Check out an enrichment called 'the swarm' which could be useful, but honestly, if your team and esp the senior/founding team are well connected it's worth starting with a pull of their own LinkedIn connections and mapping out who knows who across your target accounts, where there's already an exec connection or good account penetration etc. You can do that with some simple lookups in Clay between tables or across rows of data Caitlin O.

Hey Caitlin! This is a common use case, and all sorts of interesting things you can do here. What would your sellers usually do to prepare for an event? A few ideas we've seen working well:

When it comes to analysing the right events to attend, you could set up lightweight versions of whatever workbooks you set up for seller prep that monitor a menu of events over the course of a year to analyse their fit for Turing. Happy to jam on any ideas!

Could you share a few screenshots or a quick loom?

GitHub, yep use the Search API it's pretty robust. Re scraping the whole web, not possible unless you're google. Best bet would be to use common crawl data and do local analysis, or try search engine scrapes (can be done in clay with serper.dev + formulae)