CrossMind

Thanks! That's the goal — useful before you've figured out your growth playbook.

yeah we fell into the random subreddit spray early on too. 69 cold DMs, zero replies. the mapping-first idea came from figuring out that most subreddits aren't full of your users, they're just full of people. the targeting does sharpen over time - after a few runs it can tell which communities are sending people who actually stick around vs just curious clicks. the first map is a starting point, not the final answer.

Thanks edmond — the "takes forever to configure" thing is exactly what we kept hearing from early founders we talked to. Most growth tools assume you already know your channels and just need automation. But the real gap is figuring out where to even start. On accuracy: right now the onboarding research takes about 30-40 minutes and maps specific Reddit threads, Twitter accounts, and communities to your product. It's not perfect yet, but the leads are concrete enough that founders can act on them day one. And it gets sharper as the agent runs daily and sees what actually converts. Appreciate you checking it out.

Good question — niche B2B is actually where the mapping matters most. When communities are fragmented, most founders default to LinkedIn spray-and-pray because they can't find the pockets. What we do is scan across Reddit, Twitter, HN, and niche forums simultaneously. For a B2B vertical like, say, logistics SaaS, it might surface a 2k-member subreddit, a handful of Twitter accounts running the conversation, and an IH thread where three founders are comparing tools. Small clusters, but that's where buying intent actually lives. The research phase adapts based on what it finds — if Reddit is thin, it leans harder into Twitter threads and HN discussions. It's not one fixed playbook. The output is always specific: here are the 20 threads, here are the 15 accounts, here's where to start. Honestly the smaller verticals tend to convert better because the signal-to-noise ratio is way higher.

Good question. Honest answer: we're early, so the dataset is small but real. One user got their first signup from a Reddit thread we surfaced — took about 11 hours from the community scan to actual conversion. Another ran onboarding and got a map of 20+ specific Reddit threads and 15 Twitter accounts in their niche within 40 minutes, which they said saved them weeks of manual research. The outreach side is where it gets interesting. We tested cold DMs ourselves first — 69 attempts, zero replies. So we pivoted to contextual replies in threads where people are already asking for solutions. That approach actually works because you're joining conversations, not interrupting them. Still iterating fast on outreach quality. The numbers improve as the agent learns which communities actually convert for each product.

You're touching on something we think about a lot. The Slack example is spot on — payroll buyers in private HR ops Slack groups are basically invisible to any automated tool, ours included. We can't scan private workspaces, and we're upfront about that. What we can do is work the public surface area that exists around those niches. Reddit has surprisingly active HR and ops communities. Twitter has payroll/fintech founders talking shop. Even niche subreddits like r/humanresources or r/payroll have real buyers posting real questions. For B2B verticals, the onboarding scan often finds signal in places founders hadn't thought to look. The fragmentation actually helps — less competition for attention in a thread with 12 comments vs a subreddit with 2M members. Honest gap: if your entire buyer base lives in private Slack and nowhere else, we're not the right tool yet. But most niches have more public signal than founders realize.

Both, actually. The zero-config part works the same way regardless — you give it your product URL, it scans Reddit, Twitter, HN, and indie communities to find where people are talking about problems your product solves. The difference is just where the signal shows up. Consumer/indie products tend to have obvious subreddits and Twitter conversations. B2B niches have fewer but higher-intent threads — someone asking "how do you handle X at your company" in a 30-comment thread is worth more than a viral post in a 2M-member subreddit. Right now our strongest results are with indie/consumer products since that's where most of our early users are. But the research engine doesn't discriminate — it follows signal wherever it finds it. The main limitation is private communities (Slack, closed Discord servers) which we can't access.

Thanks Allen! Appreciate the kind words — means a lot during launch week. Good luck with BookYolo!

Fair challenge. The strategy layer is genuinely adaptive — it researches your specific product, maps communities where your ICP already hangs out, then calibrates based on what gets traction. Not templated. Different channels, different angles, different Reddit subs depending on what you're building. Honest answer on judgment: it improves with feedback loops. Onboarding maps your specific distribution landscape in 30-40 min, then executes daily and adjusts. Happy to show you actual output for a real product if that's more concrete.

Appreciate it. That pain point is exactly what we're trying to close — product ships, then silence. Hoping CrossMind changes that loop.

Good question. We go content-first, not DM-first — no cold messaging strangers. For Reddit, we use a pool of aged accounts that warm up with real comment history before any posting. Each account has a strict daily limit per subreddit. Our early users came from replying to people in actual conversations, not spamming threads. For Twitter, we use OAuth so the user's own authenticated account does the posting. Bot detection is a real concern — we found the difference between engaging with a community before posting into it vs. blasting content is massive.

Thanks Peter! We're still early but learning a lot from real usage. If you ever want to try it on your own project, registration is open.

You nailed it — the vibe coding trap is real. Ship in a weekend, then stare at zero users for a month. We fell into it ourselves. The key insight was that distribution isn't about posting more, it's about knowing which 3 communities matter for your specific product. That's what the research phase solves.

Great question. We're building exactly that feedback loop — not just map once and blast. The first run identifies where your users are. Then we track which channels actually convert (Reddit threads vs Twitter replies vs community posts) and weight the next cycle toward what worked. Very early data: Reddit converts, cold DMs don't (0 for 69). More channels coming as we learn.

Fair ask. We ran 69 cold DMs with zero replies before pivoting to community-first. One user found us through a Reddit post in 11.4 hours. Now onboarding takes ~35 min and outputs a map of 20 specific threads + 15 Twitter accounts where your users already are. Still early — 62 upvotes here, real users in single digits. Execution is the only thing that matters, so we're shipping fast and sharing the data.

Thanks! The game-changer isn't really AI, it's doing the research before the outreach. Most tools skip straight to posting. We map where your specific users already hang out first, then engage there. Still proving it with real numbers — happy to share what we learn.

Haha that's exactly what our first user said. Built something cool, launched, heard crickets. Wish we'd started with 'where are my users' before writing a single line of code. Better late than never though.

You described exactly what we're building — it adapts. First run is research: maps threads, accounts, communities. Then outreach starts based on that map. After each cycle, we look at what converted (clicks, signups, replies) and adjust the next cycle. So far Reddit discussion threads convert, cold outreach doesn't. The mapping refreshes too — new posts, new communities get picked up each cycle. Not static, not one-and-done.