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ReachFast

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ReachFast — Find the people already asking for what you sell on X

About ReachFast

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.

Features

  • Automatic target-customer profile built from your website, Etsy shop, app page

  • AI buying-intent scoring that separates idle mentions from people actively

  • Lead feed refreshed every 24 hours — a manageable queue, not a firehose

  • No account linking, and it never posts on your behalf — you reply as yourself

  • Works for SaaS, Etsy shops, app listings and freelance profiles

Details

Pricing
  • Freemium
Building since

2026

ReachFast screenshot on IndieTools

1 / 4

Website performance

Recorded mobile lab measurements and finalized weekly standings from IndieTools Speed.

100ExcellentMobile Lighthouse

Measured · UTC

Load time
1.62 s
FCP
1.20 s
LCP
1.20 s
CLS
0.022
TTFB
226 ms
TBT
8 ms
Speed index
2.67 s

These stored lab observations describe controlled test runs. They are not real-user Core Web Vitals or a guarantee of search rankings. Weekly standings below remain attached to their finalized edition.

Overall rank · 2026-W44
#268
Down 23 places
Best overall rank
#126
0 top 10 finishes
Best category rank
#14
0 category wins
Latest change
29 ms faster
Best score 96 / 100

Method: psi-mobile-two-sample-mean-v1 · 2 samples per reading. Only readings with the same recorded method and sample count share a chart. Lab results can vary between runs.

Website performance history

Inspect every successful mobile Lighthouse lab measurement by metric and date range.

Range

Latest score

100 / 100

Higher is better
34 measurements

Use the left and right arrow keys to inspect measurements. Use Home or End to jump to the first or last measurement. Press Escape to dismiss the chart tooltip.

Oct 9, 2026Nov 7, 2026

Weekly rank history

Track the product's finalized overall position on the IndieTools Speed leaderboard.

Range

MetricOverall rank

Latest rank

#268

Closer to #1 is better
2 weeks

Use the left and right arrow keys to inspect weeks. Use Home or End to jump to the first or last week. Press Escape to dismiss the chart tooltip.

Oct 19, 2026Oct 26, 2026
DR3 (primary model)
14

No change since 6 Nov

DR4
Not measured yet

Measured · reachfa.st

What do DR4, DR3 and the model difference mean?
DR4:
Ahrefs' newer model. It gives more weight to links from sites with organic search traffic and rates a subdomain on its own links.
DR3:
The previous model, shown in the Ahrefs app until 1 December 2026.
Model difference:
DR4 minus DR3 for the same domain. The models calculate differently, so this is not growth or a drop; the “since” lines compare each model with itself.

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