Day 1 to 61 of the free traffic exchange I built. Here's the data
61 days ago, I launched my startup, a free traffic exchange network for startups. One line of code, you're in the network.
No paid ads. No growth hacks. Just watching the numbers every day.
Here's the full data:
Day 1 — 2 startups · 146 impressions · 1 clicks
Day 2 — 3 startups · 389 impressions · 3 clicks
Day 3 — 5 startups · 482 impressions · 5 clicks
Day 4 — 5 startups · 508 impressions · 4 clicks (site went down — still got an $8k acquisition offer. Said no.)
Day 5 — 6 startups · 621 impressions · 10 clicks
Day 6 — 5 startups · 742 impressions · 15 clicks (removed one startup — they pulled the embed. No code = no network.)
Day 7 — 7 startups · 1,196 impressions · 41 clicks
Day 8 — 7 startups · 1,535 impressions · 74 clicks
Day 9 — 8 startups · 1,947 impressions · 135 clicks
Day 10 — 13 startups · 3,500 impressions · 318 clicks (something clicked)
Day 11 — 23 startups · 4,800 impressions · 432 clicks
Day 12 — 24 startups · 6,000 impressions · 481 clicks (network crossed 6K total impressions)
Day 13 — 25 startups · 6,800 impressions · 491 clicks
Day 14 — 25 startups · 8,600 impressions · 516 clicks
Day 15 — 24 startups · 9,900 impressions · 564 clicks (removed one)
Day 16 — 23 startups · 10,800 impressions · 576 clicks (removed one)
Day 17 — 24 startups · 11,900 impressions · 603 clicks (added one)
Day 18 — 26 startups · 13,400 impressions · 624 clicks (added Two)
Day 19 — 28 startups · 14.400 impressions · 652 clicks (added Two)
Day 20 — 26 startups · 14.700 impressions · 671 clicks (Removed Two)
Day 21 — 26 startups · 15.300 impressions · 691 clicks
Day 22 — 28 startups · 16.100 impressions · 719 clicks (Added Two)
Day 23 — 30 startups · 16.800 impressions · 738 clicks (Added Two)
Day 24 — 32 startups · 19,800 impressions · 778 clicks · Added 2 startups · Rejected 4 applications.
Day 25 — 34 startups · 23,700 impressions · 800 clicks · Added 2 startups · Fixed some bugs.
Day 26 — 33 startups · 27,200 impressions · 816 clicks · Removed 1 Startup
Day 27 — 33 startups · 29,900 impressions · 833 clicks
Day 28 — 33 startups · 30,600 impressions · 871 clicks · Removed 1 Startup · Added 1 Startup · Rejected 1 application of clothing brand & 1 application of horror blog site.
Day 29 — 35 startups. 31,300 impressions. 910 clicks · Removed 1 Startup · Added 3 Startups · Also today I resigned from my job. Toxic environment, too much pressure, and honestly I just believe in this enough to go all in. Broke and excited. Let's see where this goes.
Day 30 — 46 startups · 32,900 impressions · 1,000 clicks · Removed 1 startup · Added 12 startups · Yesterday I resigned because of my toxic manager. Today my senior manager called and offered me WFH, a project of my choice, and lighter work if I stayed. I made my decision with confidence, but now I have a difficult choice. Also received my first payment from StartupBar.
Day 31 — 50 startups 💪· 28,100 impressions · 1,200 clicks · Removed 1 startup · Added 5 startups · Rejected 1 crypto startup · Removed fake impressions after exploit
Day 32 — 54 startups · 29,300 impressions · 1.2K clicks · Added 4 startups
Day 33 — 54 startups · 30,900 impressions · 1.2K clicks · Removed 1 startup · Added 1 startup
Day 34 — 55 startups · 36,100 impressions · 1.3K clicks · Added 1 startup
Day 35 — 55 startups · 40,100 impressions · 1.3K clicks · Removed 2 startups · Added 2 startups
Day 36 — 55 startups · 44,800impressions · 1.4K clicks · Removed 1 startup · Added 1 startup
Day 37 — 58 startups · 50,700impressions · 1.4K clicks · Added 3 startups · Site Update: Updated the distribution algorithm (Delivery is now weighted by contribution: sites that send more impressions get a proportionally larger share back)
Day 38 — 57 startups · 55,800 impressions · 1.5K clicks · Removed 1 startup · Rejected 1 Application.
Today StartupBar reached 200 users 😄
Thirty-eight days ago, this was just an idea. Today, 200 people have trusted it enough to join the network.
Day 39 — 58 startups · 59,800 impressions · 1.5K clicks · Added 1 startup.
Day 40 — 60 startups · 63,200 impressions · 1.6K clicks · Added 3 startups · Removed 1 startup
Day 41 — 63 startups · 69,400 impressions · 1.6K clicks · Added 3 startups
Day 42 — 62 startups · 73,800 impressions · 1.6K clicks · Removed 1 startups
Day 43 — 64 startups · 78,000 impressions · 1.7K clicks · Added 2 startups (Receiving many suggestions to improve the StartupBar, happy to work on it, Thanks.) StartupBar Update - Added the rotation of startups in the widget for every 30 seconds.
Day 44 — 66 startups · 86,200 impressions · 1.7K clicks · Added 2 startups
Day 45 — 67 startups · 88,400 impressions · 1.7K clicks · Removed 2 startups · Added 3 startups (Update - Updated the algorithm of the widget)
Day 46 — 69 startups · 91,900 impressions · 1.8K clicks · Removed 2 startups · Added 4 startups · Got my second payment.
Day 47 — 68 startups · 98,900 impressions · 2.2K clicks · Removed 2 startups · Added 1 startup · Added Pricing Page
Day 48 — 70 startups · 103.4K impressions · 2.3K clicks · Added 2 startups
Day 49 — 72 startups · 113.4K impressions · 2.4K clicks · Added 2 startups · Update: Added a Bottom Placement option for the bar on the user site.
Day 50 — 73 startups · 116.7K impressions · 2.4K clicks · Added 1 startup
Day 51 — 74 startups · 125.2K impressions · 2.5K clicks · Added 1 startup · Rejected 1 Application
Day 52 — 73 startups · 131.2K impressions · 2.6K clicks · Removed 1 Startup
Day 53 — 74 startups · 139.5K impressions · 2.7K clicks · Added 1 Startup
Day 54 — 79 startups · 146.3K impressions · 2.7K clicks · Added 6 Startups · Removed 1 startup.
Day 55 — 77 startups · 154.9K impressions · 2.8K clicks · Removed 2 startups.
Day 56 — 77 startups · 161.8K impressions · 2.9K clicks · Added 1 startup · Removed 1 startup.
Day 57 — 77 startups · 169.4K impressions · 3.0K clicks
Day 58 — 77 startups · 176.2K impressions · 3.2K clicks
Day 59 — 78 startups · 184.3K impressions · 3.3K clicks · Added 2 startups · Removed 1 startup.
Day 60 — 77 startups · 190.9K impressions · 3.3K clicks · Added 1 startup · Removed 2 startups.
Day 61 — 77 startups · 194.9K impressions · 3.4K clicks
Still free. Still growing.
If you want in, it's one embed. That's it → StartupBar.Co
The daily consistency is honestly more impressive than the big numbers. Going from 2 to 77 startups in two months shows the network idea is working. As it grows, AI-based matching could make the clicks even stronger by showing each visitor startups they’re actually likely to care about.
The day-37 algorithm change is the most consequential line in this whole log, and I think it quietly changes what every number after it MEANS, in a way the "still growing" top-line hides. Before day 37 delivery was roughly egalitarian; after, it's weighted by contribution, so the biggest traffic sources get the biggest share back. Two things fall out of that. First, part of the impression growth after day 37 is endogenous: when you reward high-contributors with more delivery, their sites serve more of your widget, which mechanically inflates total impressions even if zero new humans entered the network. So the post-day-37 curve fuses two different things, real new reach AND the algorithm concentrating delivery onto your highest-volume members, and you can't read "impressions still climbing" as "reach still climbing" once delivery is contribution-weighted. Second, the participant count plateaued around 77 for the last ~10 days, right as the contribution-weighting matured. Weighting by contribution is great for retaining whales, but it starves small and new members of return traffic (they contribute little, so they get little back), and that's exactly the cohort most likely to churn or never activate, the same newcomers who make it feel like a fair exchange when they're deciding whether to embed. A network can look "still growing" in impressions while flat in participants precisely because it started concentrating delivery on the big contributors and taxing the long tail. The good news is you already log adds and removes daily, so this is measurable: split return-traffic (clicks received) by contribution decile and check whether the bottom half's clicks-received went UP or DOWN after day 37, and whether your removes since then cluster in the low-contribution cohort. If they do, that's the leak that caps participant count long before CTR does. Genuine question: since day 37, are the startups you've removed spread evenly across contribution levels, or concentrated among the low-contributors who get the least back under the new weighting?
The day-by-day data is more interesting than the headline numbers here. One thing that stands out is how the network effect seems to compound as the number of participating startups increases.
I’d be especially curious to see the next layer of the funnel: clicks → visits → signups → activated users → retained users. 3.4K clicks is a useful top-line number, but knowing which startups actually receive qualified traffic and what happens after the click would make the data much more actionable.
It would also be interesting to compare CTR and downstream conversion by startup/category. That could reveal whether the network is mainly generating traffic or actually generating customers for participants.
The smartest thing in this whole log is buried in day 37: weighting delivery by contribution turned freeloading into a self-policing problem, which is the failure that kills most traffic exchanges. Since CTR dilution is already covered below, I'll add the monetization angle: don't charge for membership, charge for priority, because the free network is your moat and the auction for position is the business. I ran distribution-heavy businesses for 20 years and the pattern holds: give away the pipes, sell the pressure.
ran the click-through rate across a few days out of curiosity: day 1 is 0.68%, day 10 spikes to 9%, day 38 is down to 2.7%, day 61 is 1.74%. CTR peaked early and has been quietly declining as the network scaled, even though total clicks keep climbing
that's not necessarily a bad sign, dilution is normal as impressions scale faster than genuinely interested clickers, but it might be worth watching as its own metric alongside total impressions/clicks. if CTR keeps sliding, "still growing" on the top-line numbers could mask a network that's converting worse per impression than it did at 10 startups
also, respect for catching and removing the fake-impressions exploit on day 31 and saying so plainly instead of just quietly fixing it. that's the kind of thing that's easy to bury in a data post like this
The strongest signal is that StartupBar has already demonstrated network effects before trying to monetize them. The more startups join, the more impressions and distribution the network produces. The real strategic question now is whether that growing attention can become a defensible paid acquisition channel without damaging participation.