How frontBrick turned social signals into qualified leads for Unbooth

frontBrick builds and runs GTM systems across data, email, LinkedIn and ads. Its ten-person team pairs AI agents with experienced GTM engineers, with qualified pipeline as the goal.

Founder Stan Stojanovic and operations manager Natalija Ilic use SnitchFeed to find social posts that can feed those systems. They have used it for four months.

One example is Unbooth.io, frontBrick's in-person event app. The team monitors upcoming events and posts from people saying they will attend. SnitchFeed surfaced every lead in the Unbooth campaign, and frontBrick used those signals to reach out while the event was still relevant.

The team sent 108 connection requests and 44 were accepted, a 40.7% acceptance rate. Of 46 leads messaged, 19 replied (41.3%). Of those replies, 78.9% were marked interested and counted as conversions.

frontBrick previously used Apify to scrape posts, then a custom Clay workflow to retrieve content, score relevance and pass promising posts downstream. The team says the chain was unreliable and lacked the Boolean search logic it needed.

The team has multiple SnitchFeed listeners that send mentions through webhooks. Each listener routes its signals to the right destination: a Grok bot, a Hermes agent or Clay. From there, frontBrick categorizes posts, scores people against different ideal customer profiles, finds valid work emails and adds qualified prospects to LinkedIn, email or ads workflows.

The point is to act while the signal is still relevant. A post can move from monitoring to enrichment and outreach without the team stitching together a separate scraping stack for every use case.