ReachFast

ReachFast

Find the people already asking for what you sell on X

Coming soonLaunches Monday, Oct 12 · in 11 days

Marketing

About

ReachFast attacks social listening from the opposite end to keyword tools. You point it at a website, Etsy shop, app listing or freelance profile; it works out what the business actually sells and builds a target-customer profile from that, with no keyword lists to maintain. It then scans public posts on X and hands them to an AI judge that scores each one for buying intent — the difference between someone idly mentioning your category and someone publicly asking for a recommendation right now. The feed refreshes every 24 hours, so you get a manageable queue of warm prospects rather than a firehose of keyword noise. Two deliberate omissions matter: it doesn't require you to link your account, and it never posts on your behalf. You reply as yourself, in your own words, which is both the point and the workload — this is a lead-discovery tool, not an outreach automation. The practical caveats are that it lives on X only, intent scoring is a judgement call that will occasionally over-rate a post, and volume depends entirely on how much your niche talks publicly. For solo founders, freelancers and small ecommerce sellers who'd rather answer ten relevant threads a week than run cold outreach, that trade is a sensible one. It is especially useful when the customer language is messy or inconsistent, because the setup starts from the actual offer instead of a perfect keyword brief. That makes it easier to test new audiences, spot repeated objections, and turn public buying signals into timely, human replies without building a full sales stack.

X/Twitter@flojousselin
PricingFreemium

Publisher

Joined Sep 2026

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FounderPlaybooks.

What other founders did to grow.

2722 dispatches from hundreds of founders, pulled from the week's best podcasts.

Onboarding
The recipient needed to understand that there was only one a day and so we actually created both a marketing campaign around it but also we effectively created a branded profile that we could introduce into the product that would market the product features.

SuperLike Required Educating Both Sender and Recipient — Or the Feature Would Fail

Tinder's SuperLike was a premium feature that only worked if recipients understood its scarcity. If the person receiving a SuperLike didn't know it was someone's once-a-day allocation, the signal was meaningless and the sender's match rate wouldn't improve. Phil's team created both external campaigns and an in-product branded profile to teach the mechanic. The broader lesson: any social or network-effect feature that relies on perceived scarcity or reciprocity requires deliberate user education on both ends of the transaction.

Mindset
Someone says 'we already tried that' and I go, 'Whoa, but that was 18 months ago — think about all the things we've learned.' Consumer willingness to pay via subscription has changed, onboarding patterns have changed, willingness to pay higher prices is surprisingly doing better and better.

Revisit every strategic assumption every 18 months — consumer willingness to pay has shifted

In a market that moves as fast as subscription apps, a pricing test or gating strategy that failed 18 months ago may have been correct then and be wrong now. Alex Prasad forces re-evaluation of every assumption on a rolling basis. Consumer price tolerance, onboarding norms, and competitive positioning all shift faster than most founders reset their priors — the 'we tried that' objection is often a stale data point masquerading as institutional knowledge.

There's a play for whatever you're stuck on.

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