We fell into this exact same trap last year. We ran an A/B test on our landing page and picked the headline that gave us the highest number of free signups.
Turns out, a flashy catchy headline brings in a ton of curious people who bounce after three days while a boring, clear statement attracts the actual buyers.
Ever since that mess we stopped looking at raw conversion rates as the main success metric.
How do you usually balance getting a high volume of signups versus attracting people who are ready to pay?
We ran a small test keeping the exact same DM script but changed the profile tagline from "Founder & CEO at [Company]" to a clear value proposition: "I help B2B SaaS teams reduce churn."
The reply rate instantly jumped by almost 40%.
People click your profile before they reply to your message. Your profile is the landing page for your outbound.
For the builders here: When a stranger DMs you, what s the #1 thing on their profile that makes you immediately ignore or report them?
We noticed 70% of our replies come from the 2nd or 3rd message, but sending "Just bumping this to the top of your inbox" was getting us blocked.
We switched to sending a 30-second quick visual breakdown or a relevant free asset instead of a reminder. Replies went up without burning the relationship.
What s your go-to non-annoying follow-up angle that actually gets a response?
I used to spend entire Sundays migrating my tasks from Notion to Todoist, then to Obsidian, convinced that this was the app that would finally make me superhuman.
It didn't change my output, but it gave me a massive dopamine hit of feeling productive without doing a single hard task. It felt like "optimizing my workflow," but it was just a fancy form of procrastination.
Have you ever fallen into the trap of endlessly setting up systems instead of just doing the work?
I've been doing about 20 linkedin dms a day for a while now and the thing that keeps surprising me is how little list size matters. a few hundred people who've just commented on a competitor's post or moved into the right role get far more replies than a big export filtered by job title.
curious what signals other founders actually use before reaching out. hiring posts, funding news, people following a competitor's page, something else? and has anyone found one that sounded great but turned out to be noise?
This is quite urgent as I'm launching apps back to back. I have some paid customers here and there and some OK traffic, but Im not sure what to pursue with more energy. What kind of conversion rates are considered "good" in order to pursue a product more seriously? When I say conversion rates I mean the following:
From landing page to app visit
From app visit to registration
From registration to paid customer
What numbers do you consider good? I haven't managed to find clear answers online.
PS: Im a solopreneur so I have limited resources, I cant be pursuing products that make no sense number-wise.
it is so easy to fall into the trap of spending the entire Saturday morning configuring a massive SaaS boilerplate with auth, billing, and teams just to build a tiny weekend tool. a full template feels like overkill when you just want to test an idea, but starting completely from scratch means wasting hours on boilerplate code. i have started keeping a bare-bones local template with just basic login routes pre-configured.
what is your go-to trick to skip the boring setup phase without getting buried in heavy boilerplates?
It is so easy to fall into the trap of adding just one more feature once the core MVP starts working on Saturday night. what was supposed to be a simple two-screen utility suddenly turns into an ambitious platform with user dashboards and settings pages. i had to start writing down a strict one-page feature limit on a physical notepad before touching my code editor.
how do you stop yourself from expanding a weekend build into a three-month monster project?
We ran into a near disaster last week when an agent was tasked with a routine API validation fix, but took it upon itself to "clean up" the database schemas and generated unrequested migrations.
It completely wrecked a couple of foreign key relationships because it thought it knew a better architectural pattern. Ever since then, our team had to lock down write permissions for any automated tool.
For those of you doing heavy backend work with AI, what kind of strict guardrails or sandbox environments do you use to keep the assistant away from your data layer?
