8:42 AM - Inbox triage
I open the dashboard before my coffee is fully cooled. Slack is already pinging. The alerts tab shows six flagged requests from overnight: three rate-limit overrides, one billing inquiry from a new customer, one support response from my AI agent that needs review, and one churn notice. I start with the overflow.
The support response is waiting in my queue - drafted by Claude, ready for my sign-off before it goes to Miguel Torres at TorresIO. He's been on the $149 tier for three weeks and hit his multi-tenant limit on Monday. The agent drafted this:
"Miguel, thanks for reaching out. You've exceeded the included tenant isolation in your current plan. You have two options: (1) upgrade to the $299 tier for 50 isolated tenants, or (2) shard your customer base across two separate API keys on your current plan. Happy to discuss either approach. Let me know what works for your architecture."
It's good. Direct, offers a path. I add one sentence: "If you want to jump on a call to walk through sharding vs. upgrading, I'm around this afternoon." Then I approve and schedule it to send.
The Slack notification about this morning's signups shows 12 new free-tier users overnight. Three are from a Reddit thread on r/devops where someone mentioned us yesterday. The other nine are organic search - mostly from SEO keyword clusters around "API rate limiting" and "DDoS prevention." This is how it works. Someone hits their rate limits in production at 2 AM, searches for solutions, finds our landing page, signs up on the free tier within five minutes.
The churn notice is from David Chen at ChenDevTools. He was on the $149 tier for six weeks. I click through to see the flag: his account usage dropped to near zero about ten days ago. No requests in the past week. I pull up his email thread. No complaints logged. No support tickets. Just silent falloff. I open Gmail and draft something quick:
"David, noticed your account went quiet last week. Everything okay? If there's a feature missing or if you found another solution, I'd like to know what happened. No hard feelings either way. Let me know."
I send it, knowing the answer will probably be "we switched tools" or "didn't end up needing it." But I'd rather know than guess.
10:15 AM - A flagged conflict
The billing inquiry is from a new customer named Carol Reyes at Reyes Family Practice. She upgraded to the $299 tier yesterday but got charged for the full month even though it's the 9th. She's confused about prorating. I click into the Stripe dashboard to check the transaction.
She's right. The billing system charged her the full $299 instead of prorating to the 22nd, which would have been $165. This is one of those moments where the system doesn't catch edge cases - I built the proration logic into the billing flow, but it missed something when the upgrade happened mid-cycle. I manually calculate what she should have been charged: $162.70. I go back to Stripe and issue a manual credit of $137.30.
Then I open a Linear ticket marked High: "Billing prorating bug on mid-cycle upgrades." I'll need to fix the calculation logic later this week. For now, I send Carol an email:
"Carol, I found the issue on my end. You should have been prorated. I've just credited $137.30 back to your card - it'll show in 1-2 business days. Thanks for catching this. Let me know if you have any other questions."
This is the part that doesn't scale. I could build a fully automated refund system, but right now, at 12 customers paying real money, it's faster to handle edge cases manually and fix the underlying issue than to architect perfect automation. But I'm keeping notes. When we hit 50 paying customers, this will become a process.
12:30 PM - Lunch and the metrics check
I grab a sandwich and open the admin metrics panel. I'm checking week-to-date numbers.
Monday: $847 in new MRR. Two upgrades from free tier.
Tuesday (today so far): $149 from Carol's upgrade yesterday, plus $299 from Miguel when his response goes out. Assuming he converts, that's $448 for the day.
Week-to-date MRR growth: $1,294.
Running ARR projection if this continues: on pace for about $67,000 this year. That's well below the $168k the original founder told me was possible at Year 1 midpoint, but we're only six weeks in. And this is pure product-led growth right now. No sales calls. No outbound. Just people finding it.
The free tier is doing its job. I have 487 active free-tier accounts using between 10k and 95k of their 100k monthly requests. Three of those accounts will probably convert in the next 30 days just based on usage patterns I'm seeing. Linear has that labeled as "High-confidence pipeline."
I check Slack alerts. One API endpoint had a slight latency spike at 11:47 AM - nothing critical, but it spiked from 45ms to 180ms for about four minutes. The system auto-recovered. I make a note to look at the logs tonight if I have time, but it's likely just a traffic spike. This part of the day is still quiet enough that I notice these things. In a few months, I probably won't.
2:08 PM - A real escalation
Slack pings with a critical alert. James Wu from DataflowCore hit his rate limit on the $299 plan and is getting throttled. He's on the phone with his customer - this is real-time impact for him. His message: "Need immediate override. This is a production incident."
I pull up his account. He's been on the $299 tier for four days. His usage today shows 47,000 requests so far, on pace for about 110,000 by end of day. His plan includes 50,000 requests per day.
I check the admin override panel. I can give him an emergency bump for 24 hours, which would raise his daily limit to 100,000 for today and tomorrow. The conversation in Slack is quick:
James: "Can you bump my limits? I'll upgrade to the $799 tier tomorrow."
Me: "Sending a 24-hour override now. You'll have 100k/day through tomorrow. Let's schedule a call this afternoon so I understand what's driving the spike. If this is a permanent load increase, the $799 tier might be overkill - we can look at optimizing your usage patterns first."
I send the override. His requests start going through immediately.
When he calls at 3:15 PM, it turns out his customer launched a marketing campaign that drove unexpected traffic. He wasn't expecting to hit the limit. We talk through his options. He doesn't actually need $799/month. I suggest keeping him on $299 but implementing request batching on his end to smooth out the peaks. He's on board. He saves money. I keep the customer. This is the kind of conversation that generates trust.
4:30 PM - Pipeline review and a win
I open Linear and look at the pipeline board. Twelve opportunities in "Evaluating" stage. Five in "Negotiating" (though in a PLG model, "negotiating" just means they haven't clicked upgrade yet). Three already converted this week.
One of those conversions came back with a thank-you message an hour ago. Sarah Kim from BuildFast upgraded two days ago and sent me a note: "Been using API Gateway AI for 48 hours. Already caught two abuse patterns we didn't know we had. This is exactly what we needed."
I screenshot that message and drop it in Slack, unprompted. It's the kind of feedback that reminds me why this is worth the work. She found value in two days. The system worked.
I check the free-tier usage distribution one more time. Four accounts are now consistently above 90k requests per month. Two of those are definitely converting within 14 days based on growth trajectory. The other two might churn - they're using about 94k for the past three weeks with no growth pattern, which suggests they've found their steady state and probably won't need paid features. I don't need to chase everyone. Some free-tier users are just free-tier users.
5:45 PM - Bug fix and loose ends
I finally open that Linear ticket about the prorating bug. It took me 20 minutes to trace through the billing logic, but I found it: the proration calculation wasn't accounting for the day of the upgrade itself. I wrote the fix, tested it against three scenarios, and pushed it to production.
I check email one more time. Miguel responded to my afternoon offer for a call. He's going to take the multi-tenant upgrade instead of sharding. That's $299/month locked in. I schedule the call for Thursday.
The four flagged support items are now down to zero. The Slack alerts show normal traffic. The system is humming.
6:15 PM - Closing the laptop
I close the laptop around 6:20 PM. It's been a full day, but not an emergency day.
This business is real work. Not because it's hard - it's actually pretty straightforward - but because it requires constant attention. The AI handles drafting support responses and flagging issues. Linear tracks what needs fixing. Stripe handles the money. But I'm the person who reviews the drafts, makes the calls on refunds, handles the conversations that need judgment, and decides what bugs to fix today versus next week.
What worked today: getting to customers fast, catching churn early, being willing to do the manual thing when it mattered. Carol's refund took 10 minutes and probably saved the relationship. James's call turned a potential complaint into an upgrade.
What I'd change: I need to build that billing proration test into my automated system before it becomes a pattern. Right now fixing edge cases manually is fine. In three months, it won't be.
The free tier is working exactly as designed. People discover us, try us, convert when they see value. No sales team needed yet. No ads. Just product doing its job.
I'm tracking toward a different number than the founder's projection, but I'm only six weeks in. If conversion rates stay steady and usage keeps growing at this pace, the math works out. It just takes time.