SnitchFeed
Intelligent social listening platform to find high-intent leads and track competitor mentions.
AI & Machine Learning·Marketing·Sales & CRM
About
SnitchFeed is an intent-based social listening platform designed for startups and SMB go-to-market teams. It monitors conversations across multiple platforms like LinkedIn, X, Reddit, and Bluesky to surface high-intent buyers the moment they raise their hand or ask for a solution. Instead of relying on stale databases or noisy keyword monitoring, the platform uses AI scoring, sentiment tagging, and natural language processing to filter out spam and deliver only relevant opportunities.
The platform is built for sales, marketing, and GTM teams who want to find real-time leads, steal customers from competitors by tracking complaints, and discover what features to build based on actual user discussions. Users can define their ideal customer profiles and set up surgical keyword targeting to catch negative brand mentions or buying signals instantly.
What sets SnitchFeed apart is its focus on high-signal intent matching combined with instant webhook integrations and real-time alerts. It streams historical data instantly upon sign-up and routes matched leads directly into tools like Slack, Discord, webhooks, or your CRM to ensure teams can respond faster than anyone else.
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FounderPlaybooks.
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2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
there was that customer and I think I've heard this from other Founders too that was like like basically like we need you to charge us more money like we're not going to be bble to sell this internally unless we have like a higher level package so that's how we first like became like okay maybe we do need like an Enterprise package
Charge enterprise because they literally need it to be expensive
KnowledgeOwl created an Enterprise package only after a customer told them they couldn't get internal sign-off unless the price was higher. Same product, same features — the premium covers custom contracts, DPAs, security reviews, indemnification, BAAs. Procurement reality, not feature parity, is what sets enterprise pricing.
Do we have this algorithm... for these five countries? Let's just launch it. For the rest we can build over time. We could be wrong — in which case we iterate and get it right.
Ship Features in Small Country-Scoped Batches via Feature Flags Before Global Rollout
When Super Unlimited rebuilt its server-selection algorithm, they resisted the urge to launch globally at once. Instead they used feature flags to ship to five countries first, accepted the risk of being wrong, and iterated before expanding. Tanuj calls this 'doing it in smaller chunks rather than building a big massive Taj Mahal and launching it' — a philosophy that applies to any complex feature where a bad rollout would affect tens of millions of users simultaneously.
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