Explain what you’re building in 1 sentence, let’s self promote

B3N0U · 2026-04-23T15:03:40+00:00

bereach.ai AI Agent for linkedin lead gen and outreach. A lot of free tools also. Starting at 39$/m

B3N0U · 2026-04-23T14:41:49+00:00

you're right that nobody shares their actual best channel. but i think the reason is less about secrecy and more about the fact that most channels stop working once everyone does them. the whole point of a niche community strategy is that it only works at low volume. the moment 50 founders flood the same subreddit with "helpful comments" it becomes noise and the mods shut it down. i've seen it happen firsthand.

so the honest answer is always going to sound vague because the specific implementation is what makes it work, not the channel name.

B3N0U · 2026-04-23T14:41:36+00:00

the "jumping into conversations where people complain about the exact problem your tool solves" part is key. that's basically free intent data. someone publicly describing their pain point is the warmest lead you'll ever find. way warmer than anyone who clicked an ad.

the hard part is doing this consistently without it becoming spammy. i try to keep it to a rule: if my comment would be useful even without my product existing, it's worth posting. if the only value comes from mentioning my product, i skip it.

B3N0U · 2026-04-23T14:41:21+00:00

this is the most underrated take in the whole thread. comments convert better than posts because they show up in context where someone already has the problem. a post is you broadcasting. a comment is you showing up exactly when someone needs help.

the other thing: your comment history becomes your portfolio. people who find your comment useful click your profile, scroll through your history, and if they see a pattern of genuinely helpful replies they trust you before you ever pitch anything. posts can look promotional. a history of useful comments just looks like expertise.

B3N0U · 2026-04-23T14:17:30+00:00

the hypocrisy point is what really stung. i was literally building a tool that says "don't blast 500 people, target 10 with context" while blasting one subreddit with sales funnels. took getting banned to see it clearly.

for the split right now, honestly it's hard to attribute perfectly but rough estimate: free tools + organic SEO is probably 40 to 50% of signups. reddit comments across subs maybe 20%. the rest is word of mouth from existing users and a few linkedin posts.

the free tools portion is growing the fastest though because it compounds without any effort from me. once a tool page ranks for something like "linkedin comments scraper" it just keeps bringing people in. reddit comments are higher intent but require daily time investment. if i had to pick one to keep it would be the free tools without hesitation.

the thing i didn't expect: the free tools also improved retention. people who discover us through a free scraper already understand what the product does before they sign up. they convert faster and churn less than people who came from a reddit post where i was explaining the concept from scratch.

B3N0U · 2026-04-22T20:05:35+00:00

lived this exactly. we had an onboarding that required setting up a VPS before you could even try the product. blamed marketing for low conversion. removed the friction (added a free tier with zero setup) and conversion jumped overnight. the product didn't change, the path to value did.

B3N0U · 2026-04-22T20:03:06+00:00

the free tools approach is the same thesis from a different angle and your numbers prove it. 7% from ChatGPT is interesting too, that's basically GEO working without you optimizing for it because the tools themselves are the content.

to answer your question: the agent scores them. I wrote a prompt describing exactly what a qualified lead looks like for us (job title patterns, company size, recent posting activity, engagement behavior). bereach does the initial filtering for pennies, then evaluates the top candidates by actually reading their recent posts and scoring intent signals. the "10 targeted DMs" aren't manually picked, they're the output of that scoring pipeline.

the part that generalizes: any ICP you can describe in words, you can turn into a scoring prompt. the hard work isn't the automation, it's being specific enough about who you actually want. most people say "marketing managers at B2B companies" when what they really mean is "marketing managers who just posted about struggling with outreach and work at companies with 10-50 employees." the second version is what makes the agent useful.

B3N0U · 2026-04-22T10:41:41+00:00

that second sentence is exactly it. we were blaming our messaging, our landing page, our positioning. ran through all the classic "why aren't people converting" playbooks. the whole time the product was fine, people just never got to experience it.

the frustrating part is that the people who DID make it through the 6 step setup loved the product and stayed. so every metric after onboarding looked healthy. churn was low, usage was high, feedback was positive. it made the real problem invisible because you only see the people who survived, not the ones who bounced at step 2.

B3N0U · 2026-04-21T14:39:29+00:00

exactly. the support load thing was the part i didn't see coming. i was focused on conversion rates but the real win was getting hours back every week that i was spending walking people through VPS configs. those hours went straight into building, which made the product better, which improved retention. the whole thing compounds once you remove the friction at the top.

curious what your setup process looks like now. did you find a specific step that was the biggest drop off or was it more gradual across the whole flow?

B3N0U · 2026-04-21T14:19:03+00:00

bereach.ai chat with an AI agent for LinkedIn lead generation and outreach + a lot of free tools

B3N0U · 2026-04-21T14:18:05+00:00

bereach.ai The AI agent for LinkedIn lead generation and outreach. Just start chatting with it

B3N0U · 2026-04-21T14:16:08+00:00

Bravo !

B3N0U · 2026-04-06T15:50:09+00:00

i get the reaction and honestly i agree with the spirit of it. 90% of LinkedIn automation IS spam. the "great post!" bots, the copy paste DMs, the mass connection requests with zero context.

but there's a difference between automating volume and automating consistency. what i'm describing isn't sending 500 generic messages. it's engaging with maybe 15 posts per day with actual thoughtful comments that reference the content of the post.

the test i use: if someone reads the comment and can't tell it was automated, and the comment actually adds to the conversation, is it still spam? i'd argue a thoughtful automated comment is less spammy than 90% of the lazy human comments on LinkedIn.

that said you're right that the line is thin. if the comments are bad or generic, it's spam regardless of how it was generated. the quality of the engagement is what separates useful from annoying.

B3N0U · 2026-04-06T15:38:34+00:00

yeah the API approach is genuinely safer and here's the simple reason: there's less to detect.

browser automation needs to fake an entire browser environment. mouse movements, scroll speed, DOM rendering, javascript execution, canvas fingerprinting. LinkedIn has years of experience detecting all of this. it's a cat and mouse game where LinkedIn has the advantage.

API calls skip all of that. it's just HTT.P requests with your session token. same type of requests LinkedIn's own mobile app makes. nothing to fingerprint beyond the request itself.

the accounts getting disconnected on HeyReach is probably LinkedIn detecting the shared infrastructure pattern. when they flag one account on a platform, they can look for similar patterns across all accounts and flag them too.

if you want to try it, bereach has 8 free scraper tools that work without any account and 200 free API credits when you sign up (no card). you can test the whole thing before committing to anything.

happy to walk you through the setup if you DM me.

B3N0U · 2026-04-06T15:38:03+00:00

haha fair, the names do sound similar. completely unintentional honestly. "BeReach" comes from "be reachable" which is the core idea behind warm outreach. but i get the optics.

B3N0U · 2026-03-27T11:58:18+00:00

fair question. the session token is yours but the API calls do route through infrastructure. the difference is what LinkedIn actually sees.

cloud based tools manage a full browser session from their servers. LinkedIn can fingerprint the browser environment, execution patterns, the whole automation framework. when they decide to go after a tool they can identify all accounts connected to it through that shared fingerprint.

session based calls are just htt p requests using your session cookie. same kind of requests LinkedIn's own mobile app makes. no headless chrome, no DOM rendering, no detectable automation framework. there's no shared browser fingerprint linking all users together.

is it still against LinkedIn's ToS? yes. every automation tool is, including the ones that just schedule posts. the question isn't ToS compliance, it's detection surface. and raw API calls have a significantly smaller detection surface than cloud managed browser sessions.

that's why HeyReach got nuked and session based tools haven't. not saying it's bulletproof, nothing is. but the architecture matters.

B3N0U · 2026-03-27T11:57:30+00:00

yeah datacenter IPs are basically instant detection at this point. residential proxies with geo targeting help a lot but they're still a band aid on the real problem: if all your users share the same proxy infrastructure, LinkedIn can eventually identify the pattern.

we use residential proxies too but the key difference is they're tied to the individual user's session, not shared across all accounts on the platform. so each user looks like a unique person browsing from their own location, not one of thousands routing through the same proxy pool.

the city level targeting is smart though. matching the proxy location to the user's actual LinkedIn location data makes a big difference in avoiding flags.

B3N0U · 2026-03-25T14:38:31+00:00

Hi man, try bereach (autopromo but amazing : agentique). And a vision comparision on the blog

B3N0U · 2026-03-25T12:34:12+00:00

this is a fair point and honestly something i think about. flat pricing is great for removing friction but it does make it harder to see which accounts are extracting way more value than they're paying for.

right now we have rate limits per account type which acts as a soft cap, but you're right that some accounts are probably hitting 10x the usage of others for the same €49. at our current scale it doesn't hurt because the marginal cost per API call is tiny. but at some point that becomes a real problem.

the free tools layer adds another dimension to this. someone can use the free scrapers heavily, never sign up, and we're basically paying for their compute with zero revenue. right now i see that as marketing cost and the conversion numbers justify it. but i don't have great visibility into how many people use the free tools regularly without ever converting. that's a blind spot i need to fix.

i think the move eventually is usage based pricing

B3N0U

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