Launching today
ReddLeads
Find high-intent clients on Reddit — on autopilot.
30 followers
Find high-intent clients on Reddit — on autopilot.
30 followers
Most Reddit lead tools match keywords. We match intent. ReddLeads uses AI to understand WHY someone posted — not just what words they used. So instead of 500 noisy alerts, you get 9 high-intent leads worth your time. New: built-in lead CRM, instant Discord/Telegram/Slack alerts, AI-drafted warm openers, and 0% Reddit ban risk — we never auto-post or auto-DM.
@sohamxyz Looks very cool! How are you currently monitoring for leads? Is it keyword matching?
@sayantan_paul2 Hey there!
We currently use periodic subreddit monitoring along with Buying Intent Scoring with AI.
I truly believe that Keyword Matching is a thing of the past, and a very outdated method of finding leads.
I figured out early that measuring Buying Intent captures much less noise, which led to the decision during building.
The intent vs keyword distinction is the right framing. Keyword matching gives you volume; intent matching gives you conversations worth having. The difference between someone saying "what subtitle tool do you use" and "I'm so tired of spending hours on subtitles" is enormous — same topic, completely different buying signal.
We're currently doing manual Reddit outreach for our own product launch and the biggest time sink is exactly this: reading through threads to figure out which posts are genuine pain points versus casual curiosity. If this works as described, it solves the part that doesn't scale.
One question: how does it handle subreddits with strict self-promotion rules? The lead might be real but responding in the wrong context can get you banned fast. Curious if there's any guardrailing built in for that.
@josephine_cheung We do account for subreddit-specific rules, but more importantly, we treat where and how to engage as separate from what to engage with.
The product focuses on identifying high-intent conversations with the right context. From there, the actual outreach layer (especially DMs) gives you flexibility to engage without violating subreddit norms.
That said, we’re also exploring ways to surface “safe-to-engage” contexts more explicitly. for example, threads where participation is less likely to be flagged or frowned upon.
Curious, how are you currently deciding which threads are “safe” vs risky during your manual outreach?
@leah_dyke Yes, that’s actually a core part of what we’re solving. We don’t rely on exact keyword matches in the same context, instead, we look at the overall intent behind a post.
So even if someone doesn’t explicitly use your keywords, the system can still pick up signals like frustration, need, or active search for a solution within that space.
That’s where the scoring comes in — it’s not just “does this mention X?”, but “how likely is this person to convert based on what they’re saying?”
Are you currently filtering manually, or using any tools for this right now?
Will if work for SAAS Products too? If I define the product and its category will if help me find my ideal customer
@nayan_surya98 @nayan_surya Yep, it works especially well for Early Stage SaaS.
Once the AI is able to identify your product and category, the system starts mapping that to relevant conversations where people are actively describing problems your product can solve.
So instead of just finding “mentions,” it surfaces users who are already in a buying or solution-seeking mindset within your space.
You can also refine it over time based on what kind of leads you want more of, so it gets sharper the more you use it.
What kind of SaaS are you working on?
Mokkit
Hey there, pretty cool app!
Does it also suggest comments and posts, and study the best posting times and subreddits for example?
Either way, upvoted and I wish you a good launch!
@ugo_builds @Ugo Appreciate it, and thanks for the support 🙏
Right now, the focus is on identifying high-intent conversations and leads rather than suggesting exact posts or comments.
That said, we do help indirectly by surfacing patterns — like which subreddits and types of discussions consistently generate better outcomes.
Suggesting optimal replies/timing is something we’re actively exploring next, especially once we have enough data on what actually converts. We are going to look into the Posting, commenting side of things very soon.
Would you find more value in suggested replies, or in knowing where/when to engage?
As a beta tester I was able to be part of this from the very beginning, and I found it to be a very valuable and powerful tool that allowed me to identify trends on Reddit effectively and systematically. Development is moving quickly, and new features are constantly being added.
@rays23 Really appreciate you sharing that, and for being part of it early on 🙌
A big part of what we’re trying to build is exactly that: turning something very manual and noisy into a more systematic, signal-driven process.
A lot of what’s coming next is around refining that even further — better scoring, clearer prioritization, and making it easier to act on the right opportunities quickly.
Thanks again for the support, means a lot coming from someone who’s seen it evolve firsthand.