After building several small bootstrapped SaaS tools on Cloudflare Workers, I put together a clear decision framework for its three core edge storage services:
D1 for relational structured business data
KV for global low-latency caching and sessions (with caveats around eventual consistency)
R2 for file uploads and binary assets with zero egress cost
I also covered common pitfalls like misusing KV for user persistent data, ignoring TTL rules, and mixing up blob storage locations.
Would love to hear how other indie founders architect their data layers on the Cloudflare edge runtime.
What s really standing between you and your dream of becoming a SaaS entrepreneur? Is it coding? Funding? A mountain of confusion? Let s be real sometimes the biggest obstacle is just overthinking. Drop your worries (and your excuses) in the comments let s talk openly. Maybe the next big SaaS success story starts right here.
Hi. I m launching a business and have a question about the best communication setup to choose. We operate by referring the client directly to the worker; the worker then speaks with the client and agrees on the price. Our firm doesn't take any upfront payments; instead, we collect our fee only after the client has paid the worker for the job. I want to avoid fraud specifically, situations where workers or call center staff might cheat me. I d appreciate any ideas, feedback, or tips you might have.
I am not sure if there is any technical support for issues faced while launching a product on ProductHunt. For the last few weeks, I have seen that any product that I am trying to launch is giving me an error message " The URL already exists". I dropped a mail to support@producthunt.com. But did not get any response. Kindly let me know if anyone of you has any idea
We recently rebuilt Lessie AI around a different assumption: the primary user is no longer a person clicking through a dashboard, but an agent executing tasks.
Lessie started as a pretty standard SaaS for people discovery and outbound. Search, filter, inspect, export, send emails. It worked, but the interaction model started to feel dated.
The shift isn t just AI inside SaaS. Software is becoming an execution layer for agents.
So we stopped asking how to add AI, and started asking what the product looks like if it s designed for agents first.
I m a commercial videographer who s been geeking out over SaaS and new tech for a while now. I m starting to explore how my background in video might fit into the SaaS world, and I d love to learn from people here who ve actually been through launches.
From what I ve seen so far, two common struggles seem to pop up:
Explaining the product clearly: A lot of SaaS landing pages or demos end up heavy on text but don t actually show how the product works in a way a new user gets it.
This is one of the harder calls in go-to-market and I don't think anyone has fully solved it.
Zero results is easy. Zero means stop. The hard case is bad-but-not-zero, where something is technically working but not enough to justify the time, and you have to decide whether it needs more runway or whether you're funding a dead end.
The rule I've landed on: I stop looking at the final number and look at whether any part of the funnel is improving. If the top is growing but conversion is flat, it's a targeting problem and worth fixing. If nothing is moving anywhere after a fair run, more time won't change it. Volume alone has never rescued a channel for me.
That's held up so far, but it's one person's rule from one set of products, so I'm curious how others handle it.
