We turned online conversations into customers. Here's how we detect buyer intent at scale.
The problem: Your ideal customers are asking for solutions right now. You just don't know where.
First 6 months of LeadSynth was brutal.
Product worked. Demos went well. People said "this is exactly what I need."
Then... nothing.
No consistent signups. No predictable pipeline. Just random spikes when I happened to find someone asking for lead gen tools.
The realization that changed everything:
I wasn't losing because the product was bad.
I was losing because I was never there when people were ready to buy.
Every day, hundreds of conversations happen like this:
Reddit, 2:47 AM: "Looking for a tool to automate lead generation. Any recommendations?"
X, 11:23 AM: "Need help finding prospects on LinkedIn. What tools are people using?"
LinkedIn, 6:15 PM: "Our manual outreach is killing us. What automation actually works?"
These people are ready to buy RIGHT NOW.
They're asking their network. Getting recommendations. Making decisions in hours.
If you're not in that conversation within the first 30 minutes, you don't exist.
My "strategy":
Check Reddit once a day (usually around 10 AM)
Scroll X when I had time
Post on LinkedIn weekly
What actually happened:
Someone asked for lead gen tools at 3 AM → Got 8 replies by 8 AM → Picked one by noon
I checked Reddit at 10 AM the next day → Saw the post → Replied 32 hours later
Thread was dead. Decision was made. Deal was lost.
This happened every single day. I just didn't know it.
Stopped asking: "Where should I find customers?"
Started asking: "How do I detect when buying conversations happen?"
The difference:
Hunting = Active searching
I manually check platforms
I search for keywords
I hope to find something relevant
I'm limited by when I'm online
Detecting = Passive monitoring
System watches 24/7
AI identifies buyer intent
I get alerted when conversations are live
Coverage is 24/7 regardless of my schedule
Step 1: Monitor where buyers actually talk
Not where we THINK they talk. Where they ACTUALLY talk.
For B2B SaaS:
Reddit: r/SaaS, r/entrepreneur, r/startups, r/sales
X: #buildinpublic, #SaaS, founder conversations
LinkedIn: Startup groups, SaaS communities
Covers ~80% of organic buying conversations.
Step 2: Detect intent, not just keywords
Early mistake: Keyword matching
Searched for "lead generation" → Got:
"Lead generation is dead" (opinion, not buying)
"I hate lead generation tools" (complaint, not buying)
"Just read an article about lead generation" (browsing, not buying)
95% noise. 5% actual buyers.
What actually indicates buying intent:
✅ "Looking for [solution]" ✅ "Need recommendations for [problem]" ✅ "What's the best tool for [use case]" ✅ "Anyone using [category] that works?" ✅ "How do I [problem]" + context of urgency
These phrases = Someone actively shopping, not just discussing.
Step 3: Score urgency and fit
Not all buying intent is equal.
High-intent (respond immediately):
"Looking for lead gen tool, need it this week"
"What's the best alternative to [competitor]"
"Budget approved, need recommendations"
Medium-intent (respond same day):
"How are people solving [problem]?"
"Anyone tried [category]?"
Low-intent (skip):
General complaints
Theoretical discussions
No decision timeline
Step 4: Alert in real-time
Get notified within minutes when high-intent conversation appears.
Notification includes:
Full context of conversation
Why it's high-intent
Suggested reply angle
Can respond while conversation is LIVE, not dead.
Before detection system:
Manually checking: 8 hours/week
Opportunities found: 10-12/month
Fresh conversations (<2 hours old): 2/month
Signups: Random, 3-5/month
After detection system:
System monitoring: 24/7 automatic
Opportunities found: 120+/month
Fresh conversations: 90+/month
Signups: Consistent, 15-20/month
Same product. Different detection. 4× more customers.
Real example from last week:
Monday, 4:37 AM: Someone posted on r/SaaS: "Looking for lead gen automation that actually works. Tried cold email, response rates terrible."
Monday, 4:42 AM: LeadSynth detected high intent, alerted me
Monday, 7:15 AM: I woke up, saw alert, read context, replied with helpful breakdown of why their cold email wasn't working + mentioned LeadSynth as one solution
Monday, 8:30 AM: They replied asking for demo
Monday, 2:00 PM: Demo call
Tuesday, 10:00 AM: They signed up
Deal closed in 30 hours. All because I was alerted at minute 5, not hour 30.
Most indie hackers are competing against:
Companies with 24/7 sales teams
Tools with automated monitoring
Competitors who reply in minutes
You're checking manually once a day.
You can't win that race.
But you CAN build detection that competes:
Monitors 24/7 (even when you sleep)
Detects intent automatically (filters noise)
Alerts you to high-value conversations only
Lets you respond fast without grinding 16 hours/day
LeadSynth = The buyer intent detection system we needed for ourselves
What it does:
Monitors Reddit, X, LinkedIn 24/7
Detects buying intent using AI (not just keywords)
Scores conversations by urgency and fit
Alerts you when high-intent conversations appear
Provides context so you can reply in 2 minutes
What changed:
Stop checking platforms manually
Stop missing overnight conversations
Stop arriving 8 hours late to closed deals
Start responding while buyers are still deciding
If you're:
Building something people need but can't find customers consistently
Spending hours manually searching platforms
Missing opportunities because you're not online 24/7
Wondering why competitors are growing faster
The problem isn't your product. It's your detection.
People ARE asking for what you built. You're just not there when they ask.
Try LeadSynth: https://leadsynthai.app
Current traction: $500 MRR, 390 users on trial as well
Question for the community:
How many buying conversations about your product happened this week that you never saw?
If you're checking manually, the answer is probably 80-95% of them.
What would 10× visibility do to your growth?
This is a great example of transitioning from creating features to eliminating obstacles. ~
What I found most striking was not the tool itself, but rather the mindset shift from “I need to generate more leads” to “I need to detect real intent earlier”. That’s a big reframe, and very practical for indie founders.
I noticed the same pattern for early on we chase volume since it feels like progress Eventually, we understand that most of the volume was noise and real leverage is in identifying the few who are really ready.
I’ve a simplified framework I use now.
Stage 1: Attention Grabber.
Level Two: Identify Objective.
Stage Three: Spending Time Only Here.
In most cases, Stage 1 consumes 80% of our effort.
Curious what’s the first signal that told you volume was the wrong thing to optimize for?
One specific thing that I want to try is tagging leads not by source but by behavior pattern (which pages did they visit, how long did they take between actions, did they return?). That is favouring intent instead of attribution.
Furthermore, the part about indie hackers with early customers especially benefiting from this is spot on. When you’re getting only a few users, who you talk to is more important than how many signups you get.
Very insightful explanation of the topic.
Have you tried leadsynth yet?
Wow, this is a new look to the customer discovery game!