How do founders actually research competitors before launching?
i’ve been thinking about how founders approach competitor research before launching something new.
finding competitors is usually easy.
but actually understanding:
• how they position themselves
• what they’re good at
• where they’re weak
• what angle they’re using
takes a surprising amount of digging.
curious how others here approach this.
do you usually:
1️⃣ manually research competitors
2️⃣ ignore competitors and just build
3️⃣ try to map positioning before launching
hat has worked best for you?
Trending on Indie Hackers
Meta Ad Library is underused for this. If competitors are running paid ads, you can see their exact creative and copy, and how long each ad has been running. Ads that have been live for 3+ months are almost certainly converting. Advertisers don't leave losing creative running. That tells you what angles their market responds to, not just what the founder thinks sounds good. If an ad headline says 'Tired of X?' that's a window into what frustrates their customers. More useful than reading their landing page, which gets updated and polished. The ad they show a cold paid visitor is more honest about positioning than anything else.
that's a really good point.
i've used the meta ad library a lot for creative research, but not really as a positioning signal in the way you described.
and yeah, if something has been running for months that's probably telling you a lot about what the market is actually responding to.
do you usually combine that with anything else when researching competitors?
“Nice idea, this could be a good way to test it.
There’s a competition where you can submit it — entry is $19 and winner gets a Tokyo trip.
Also, prize pool just opened at $0 so chances are best right now.”
I do a mix of 1 and 3, but not in the way most people recommend.
I don't build spreadsheets comparing feature lists. That tells you what competitors do, not why people choose them. Instead I go to the places where their customers talk about them. Reddit threads, Quora questions, G2 reviews, even Twitter complaints. That's where you find the real positioning gaps.
What someone writes in a one-star review tells you more about market opportunity than any competitor's landing page ever will. If you see the same complaint showing up across three different tools, that's your angle.
The other thing I look at is how competitors frame the problem, not the solution. Most SaaS tools in the same space solve roughly the same problem. The difference is in how they describe it. One tool says "save time on invoicing." Another says "stop losing money on forgotten invoices." Same category, completely different positioning. The second one wins because it connects to a fear, not a feature.
My honest take on option 2, ignoring competitors and just building, is that it sounds brave but usually leads to launching something that looks exactly like everything else. You don't need to obsess over competitors, but understanding how they position themselves helps you find the gap they're leaving open.
The best positioning research takes a few days, not weeks. Read 20 reviews, check 5 landing pages, look at how they describe themselves versus how their users describe them. The gap between those two is where your opportunity lives.
you're right - feature comparisons rarely tell you why people actually choose one product over another. reviews and complaint threads usually reveal way more about what frustrates users.
the point about framing the problem vs the solution is interesting too. two tools can solve the same thing but position it very differently.
curious... when you’re digging through reviews or reddit threads, what signals do you usually look for to spot those gaps?
Three signals I look for specifically.
The first is repeated frustration with the same word. When multiple people across different threads describe a problem using almost identical language, that is a positioning gap. They are telling you exactly how they think about the problem, and if no competitor is using that language on their landing page, there is an opportunity.
The second is workarounds. When someone says "I use tool X but I also have to do Y manually" or "I export to a spreadsheet and then..." that gap between what the tool does and what the user actually needs is where the next product lives. The workaround is the feature request they stopped bothering to submit.
The third is emotional intensity. A calm "it would be nice if..." is a preference. A frustrated "I cannot believe they still do not..." with multiple upvotes is a real pain point. The difference matters because people switch products over pain, not preferences.
For my project I spent time reading Reddit threads about SaaS founders struggling with CAC and marketing ROI. The pattern I kept seeing was not "I need better tools" but "I do not know which number to trust." That became the foundation for the diagnostic tool. It does not sell anything. It just helps people figure out which metric matters most for their situation. The positioning came directly from the language people were already using.
We’ve gone through a few phases with this. Early on we over-analysed competitors and it slowed everything down. Easy to get stuck trying to map everything perfectly before you’ve even shipped.
What’s worked better for us is a lighter version:
Understand how they position themselves. Look at how they actually make money (pricing, onboarding, retention)
Then get something live and see how real users react.
The interesting bit is that what competitors say they are doing and what actually converts are often very different.
Did you find anything surprising when you looked deeper into them?
the “lighter version” you described makes sense - it’s easy to get stuck analysing competitors before anything is actually live.
a thing that stood out to me when looking deeper was how often pricing and onboarding reveal the real positioning. the homepage might talk about one benefit, but the pricing page or signup flow often highlights a completely different value.
it almost feels like those parts show what they actually believe actually converts.
Yeah that’s exactly it.
We’ve noticed the same thing, the “real” positioning tends to show up where money or attention is actually at stake, not on the polished homepage.
Ads, onboarding, even support conversations often reveal what they actually think converts.
It’s interesting because if you only look at the website, you can end up with a completely different picture of the product.
that’s a really good way to approach it.
i’ve seen the same thing - it’s easy to fall into the trap of trying to map every competitor perfectly before shipping anything.
one thing that surprised me when looking deeper is how different the messaging can be across channels. the homepage might position the product one way, but their ads or onboarding often lean into a completely different pain point.
it almost feels like the “real” positioning shows up more clearly in ads or user discussions than on the official website.
have you noticed something similar when digging through reviews or community threads?
The most useful competitive research I've found isn't on their website — it's in their 1-star reviews. G2, Capterra, Trustpilot: sort by lowest first. The complaints are a direct map of the pain your positioning should own. If three competitors all get dinged for 'too complex for small teams,' that's your opening, not just a differentiator.
I’ve found the hard part isn’t mapping competitors — it’s knowing what actually matters from all that information.
You can map positioning, features, messaging…
but it still doesn’t answer:
“what should I do differently?”
Curious — have you found a way to turn that research into clear decisions, or does it still feel a bit fuzzy?
mapping competitors is usually the easier part - the harder bit is figuring out which signals actually matter and what you should do differently because of them.
that’s actually something we kept running into as well. a lot of the insights people mentioned in this thread - ads, reviews, pricing, messaging - live in different places, so turning all of that into a clear positioning decision can get pretty fuzzy.
we started experimenting with something called Competitor Snap (https://www.competitorsnap.com/) to help pull those signals together and make the positioning gaps easier to see.
still early, but i'm curious how others bridge that gap between competitor research and actual product or positioning decisions.
Yeah this is exactly the gap I keep seeing.
You can collect better signals, structure them, connect them…
but the hard part doesn’t really go away:
turning that into a decision you actually feel confident acting on.
It still often ends up as:
“this is interesting, but I’m not sure what to do differently”
Feels like the real problem isn’t just gathering or connecting signals —
but bridging that last step into something that actually changes what you build or how you position.
Curious if anyone here has found a way to consistently cross that step?
You can map competitors all day features, messaging, positioning but it still doesnt clearly tell you what you should do differently.cWhat made a difference for us was shifting focus a bit. Instead of just analyzing competitors, we started looking at the kind of audience they attract whos engaging, what messaging they respond to what patterns show up. That gave much clearer direction than just reading landing pages or feature lists. Most of your insights coming from product analysis right now, or are you looking at audience signals as well?
that’s an interesting angle.
a lot of competitor research focuses on the product itself - features, messaging, positioning - but looking at the audience side often reveals why something actually resonates.
seeing who engages with a product and how they talk about it can surface patterns you wouldn’t catch just from landing pages or feature lists.
that gap between product signals and audience signals is actually something we kept running into as well, which is partly what led us to experiment with building Competitor Snap (https://www.competitorsnap.com/) to help connect some of those signals.
curious how others here balance product analysis vs audience signals when researching competitors.
I’ve found it becomes clearer when you stop treating signals individually and instead look for patterns across a competitor’s audience like repeated roles, industries, or use-cases engaging with them. At that point it stops being “interesting” and starts pointing to a real positioning decision, because you can see which segments are already resonating and which ones are being ignored.
That makes a lot of sense — shifting from competitors to audience signals feels like a big step forward.
But I’m curious about what happens after that:
once you see those patterns, does it actually translate into clear decisions?
Or do you still end up with something like:
“this is interesting, but I’m not 100% sure what to change”
I’ve noticed that even with good signals, that last step from insight → action is still surprisingly unclear.
yeah thats exactly where it usually breaks you collect lots of signals, but none of them feel decisive on their own. what helped me was looking at whether the same audience segments keep appearing across competitors and messaging. when you see the same roles or use cases repeatedly engaging, it naturally narrows positioning and makes the “what should we change” decision much less fuzzy.
that’s the tricky part. you can start seeing patterns in competitor messaging or audience signals, but turning that into a clear “so what should we actually change?” decision is often still fuzzy.
always would find lots of useful signals from ads, reviews, pricing, messaging, but no easy way to connect them into a clear positioning direction.
that’s actually what led us to experiment with building Competitor Snap (https://www.competitorsnap.com/) - the idea was to help founders connect those signals and surface clearer positioning gaps instead of just collecting insights.
still early, hence, learning how others here move from research → actual product or positioning decisions.
Yeah this is the part that made me rethink a lot of this.
Even when you do connect the signals and see patterns,
it still often doesn’t create enough confidence to actually change direction.
You’re left with something that feels like:
“I probably should adjust this… but I’m not fully sure what or how much”
So people either:
– keep what they have and hope it works
– or make small tweaks that don’t really move anything
Feels like the gap isn’t just insight → decision,
but decision → commitment.
Curious if others have felt that — where you kind of know what to do,
but not enough to actually bet on it?