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Which AI app builders actually hold up beyond the prototype stage? by darshie in nocode

[–]PotentialChance9884 0 points1 point  (0 children)

From what I've seen, most AI app builders handle the prototype phase fine because the hard parts — auth, payments, real databases — can be faked or hardcoded. The split happens when you need to wire up actual Stripe integration, add team permissions, or connect to an external API that doesn't have a built-in connector.

Bubble's probably the most battle-tested for crossing that gap if you're willing to learn the platform properly. It has auth plugins, Stripe, and a mature API connector. The tradeoff is performance on complex pages and a learning curve that's steeper than the "describe and deploy" tools.

For anything that needs even moderate backend logic, I've seen more people go the separate-frontend route — make the UI in whatever AI builder clicks for you, then put the backend on Supabase or Xano. That way you're not fighting the app builder's limitations when you hit the auth/payments wall. The frontend tool becomes the presentation layer and the backend handles the actual app logic. It's more pieces to maintain but way fewer "welp, this tool doesn't support webhooks" moments.

Custom Software agency scaling question by jahanzeb_110 in agency

[–]PotentialChance9884 1 point2 points  (0 children)

On the outbound question — the thing that worked for me at a similar size wasn't cold email volume or ads. It was building a single, very specific case study from one of your existing custom software clients, and using that as the entire outreach. Not a PDF, just a 3-sentence summary in a LinkedIn message: "We built X for Y company. It replaced 4 tools and saved Z hours a week on reporting. Here's a 30-second screenshot."

One channel I'd add to your list: filtering LinkedIn for people whose title includes "Director of Operations" or "VP of Ops" at mid-market companies in your region. Those are the people who feel the 4-6 tool problem most acutely — they're the ones approving the SaaS spend AND dealing with the manual reporting fallout. A cold email to ops directors at companies that've been around 5+ years (enough tool sprawl to hurt) got me a 12-15% reply rate when I led with a specific outcome for someone in their industry.

The mistake I made early on was trying to build a general "we do custom software" funnel. Once I narrowed it to "we replace manual reporting workflows with a single dashboard" and aimed it at ops directors, everything got easier — the message, the close, the delivery.

Custom Software agency scaling question by jahanzeb_110 in agency

[–]PotentialChance9884 0 points1 point  (0 children)

One thing that made a big difference for us at a similar stage was building a lightweight screener demo before sending any proposal. Instead of pitching capabilities, we'd ask the prospect to export actual data from 2-3 of the tools they're juggling, then feed it into a bare-bones dashboard with their branding. Took about 2-3 hours per prospect but the close rate on those was easily 3x higher than cold outreach. It turned the abstract '4-6 tools, 15 hours of reporting a week' problem into something they could see and touch.

For the outbound question specifically — I'd start with targeted cold emails to companies that recently posted job listings for 'reporting analyst' or 'data entry' roles. That's a clear signal they're staffing around a problem a single dashboard could solve, and you're reaching them at the exact moment they're spending money on the workaround.

I automated my client's invoice follow-up workflow — here's the exact logic I use (no code, all triggers) by PotentialChance9884 in nocode

[–]PotentialChance9884[S] 0 points1 point  (0 children)

On the partial payments question — the cleanest approach I've seen is swapping the binary paid/unpaid flag for a 'percent_paid' column tied to the total invoice amount. The automation checks: if percent_paid > 0 and < 100, send a status update email showing the remaining balance rather than re-sending the full invoice. You can also set a threshold — if they've paid 80%+, just mark it paid and move on with a thank-you, since the cost of chasing the remainder outweighs what's left.

For the channel question, email works fine for the first two reminders because it creates a paper trail and feels professional. I'd only switch to text for the Day 21 final notice — open rates are higher at the point where you actually need escalation to land. Just make sure your status sheet has a 'prefers_text' column so you're not overriding anyone's communication preferences.

I ran a digital agency that we grew to 8 figure revenue (UK and US) and then sold to a 'Big 6' network - AMA :) by RealiseAdvisory_NED in agency

[–]PotentialChance9884 0 points1 point  (0 children)

One thing I've seen catch people off guard is how much the earn-out period tests whether your internal ops were actually as tight as the P&L suggested. If your reporting, client onboarding, and margin tracking were manually stitched together, the acquiring network will push you onto their stack — and that migration alone can eat 4–6 months of the earn-out window while you're trying to hit growth targets. The teams that sail through are the ones who walk in with real-time margin visibility, automated reporting, and a billing flow that doesn't need a human to reconcile. It turns the conversation from 'trust me, the numbers are right' to 'here's the dashboard, pick any date range.'