articuler.ai

What have you seen as the biggest issue for matchmaking so far? Also are you planning on adopting more features like they have at Boardy?

The intent-based matching is a smart angle. LinkedIn search is basically keyword roulette. I'm building a startup right now and finding the right investors and advisors is one of the hardest parts. Going to try this for that exact use case.

The matching logic here seems really interesting. How are you handling the 'vibe check' between the user's goal and the professional's style beyond just skill keywords? Congrats on the launch.

@jason_shen3 @hotwheels_bo @justin_bai Similar to my review (jumped in to give feedback before the launch was live). Congrats on the launch and looking forward to seeing where this gets. The meat on the bone here is obviously the quality of the outputs. I tend to rush through onboarding (nothing different here) and even by doing so quickly - I got super tailored and unique outputs - specific to my intended need.Text box is great for search (vs a thousand filters) and I really love the niched product experience. Create a profile - search for X - shortlist and track those prospects.The simple Kanban style tracking feels intuitive and intentional.In a world full of AI slop products - it's nice to see some really solid products with really specific / niche use cases that just feel purpose built with a clear mission.

Congrats on the launch! The intent-based matching is what hooks me — searching LinkedIn by keywordfeels broken the moment you're looking for someone with a specific perspective, not a specific jobtitle. As a founder building in the AI space, the part I'm most curious about is the Playbook — howdeep does it go on someone's public footprint? Does it pull from podcasts/Twitter/Substack, ormostly LinkedIn + company pages?

The cold email piece — "15% reply rate, 8x cold outreach" — is the part that genuinely stands out here. We build B2B sales automation for service firms and the hardest problem isn't sending volume, it's relevance at the point of first contact. Curious how Articuler handles cases where the public profile data is stale or the "why connect" annotation lands wrong — does the system have a feedback loop to recalibrate match quality over time?

Looks pretty useful tbh. If it can actually match you with the right investors, hires, or partners without endless keyword searching, that’s a big win. The 15% reply rate sounds impressive, but I’d definitely want to test it myself

love it! so glad to see the fast iteration and yes it really works for all people business!

This is game-changing stuff

Congrats on the launch! Does this work for recruiting as well? Can I find a growth engineer on Articuler?

Congrats on the launch. The "define your goal, not the person" framing is very clear.Curious how you avoid the system over-optimizing for obvious public signals. Do you have a way to surface less obvious but high-fit people when their profile does not use the expected keywords?

Intent-first networking is such a smarter approach than keyword-search. As a solo dev building FinTrackrr, I've wasted so much time on LinkedIn trying to find the right early advisors and beta users — keyword search just surfaces random people. The idea of describing your goal and letting the AI decode public footprints to find actual matches is exactly what cold outreach needs. 15% reply rate claim is impressive. Does it work well for early-stage founders looking for beta users or first customers?

Congrats on the launch. The 'intent-based' matching vs. keyword search is such a necessary shift.

Looks great!

Congrats. Do I understand correctly, it's a database of users/companies, where you can use text search to narrow down results and then sent them email?