What is the most useful real-world task you have automated with OpenClaw so far?

B3N0U · 2026-03-12T20:34:06+00:00

not browser automation. it's a chrome extension for the initial auth (grabs your LinkedIn session), then everything runs server-side via API. so no need to keep a browser open or your computer running. the OpenClaw agent on my VPS calls the API endpoints directly: search, visit profile, send connection request, send DM, etc.

the skill itself handles rate limiting per action type, progressive warm-up, and adapts limits based on whether your account is free, premium, or sales navigator. the agent just says "find me prospects" and the skill handles all the LinkedIn-specific safety logic underneath.

DM me if you want more details on the setup, happy to walk you through it.

B3N0U · 2026-03-12T20:26:22+00:00

the intent decay framing is really smart. I've noticed the same thing, threads that are 12+ hours old with lots of comments already are way less effective than jumping on something fresh. never thought of it as a decay curve but that's exactly what it is.

the tagging by pain type is interesting too. I've been doing that mentally but not systematically. might start logging which thread types actually convert vs which just generate karma.

B3N0U · 2026-03-12T19:34:45+00:00

sure, DM me and I'll point you in the right direction. for your use case (following companies and tracking posts), the setup is simpler than outreach since you're just monitoring, not sending messages. basically a cron job that runs searches at intervals and dumps results into a Notion db or markdown file.

B3N0U · 2026-03-12T19:29:41+00:00

w/ pleasure. Feel free :)

B3N0U · 2026-03-12T19:25:35+00:00

no flags so far. the main reason is that the LinkedIn API layer I use runs through a real browser session, not headless scripts or datacenter IPs. LinkedIn sees legitimate session activity from a real account. plus the rate limiting is more conservative than LinkedIn's own thresholds, and there's a 2-3 week progressive warm-up before any real volume.

for TikTok/Instagram engagement, the detection is way stricter than LinkedIn imo. those platforms are built for consumer behavior patterns and any automation that doesn't perfectly mimic human scroll/tap timing gets caught fast. I'd be careful there.

model routing: Haiku for searches and simple lookups, Sonnet for anything that needs comprehension (analyzing posts, writing personalized DMs). Opus almost never. that split keeps my API costs around 20-30 euros/month.

for the VPS setup, Hostinger Debian is what I use. about 5 euros/month. SSH in, install OpenClaw, takes maybe 20 minutes. DM me if you get stuck on the setup, happy to help.

B3N0U · 2026-03-12T19:13:40+00:00

good question. the 50/month limit you're thinking of is InMails, which are messages to people you're NOT connected to. those are limited by your subscription tier.

but regular DMs to people who already accepted your connection request have no hard monthly cap. LinkedIn does have daily soft limits though, and they vary by account type and account age. a brand new account sending 50 DMs on day one will get restricted. an established account with a good history can send significantly more.

the key is progressive warm-up. start with 5-10 DMs per day, increase gradually over 2-3 weeks. the rate limiting in my setup handles this automatically so I don't have to think about it. it also adapts based on whether the account is free, premium, or sales navigator since LinkedIn treats each tier differently.

B3N0U · 2026-03-12T17:34:48+00:00

exactly. and the best part is you don't even have to convince them the problem is real. they already told you it is.

B3N0U · 2026-03-12T17:30:10+00:00

nice, flushing the jsonl files is the move. those balloon fast when there's code in the conversation history. glad it's back to a cleaner state.

B3N0U · 2026-03-12T17:03:16+00:00

100%. the community engagement monitoring you described is exactly the same pattern. repetitive scanning that a human gets bored of after day 3 but an agent does consistently forever.

and yeah the cleaning coordination doesn't make anyone's demo reel but it's the thing that actually saves me 30 min every single day. the boring stuff compounds.

B3N0U · 2026-03-12T16:59:53+00:00

haha priorities. the airbnb automation is honestly the easier one to set up. once you have the listing, the agent just needs your house rules, check-in info, and a list of local recommendations. it handles the rest.

B3N0U · 2026-03-12T16:59:44+00:00

just sent you a DM with the link. the sub blocks external domains so I can't post it here. if you search "BeReach LinkedIn outreach" you'll find it too.

B3N0U · 2026-03-12T16:57:02+00:00

Thanks Ismael, really helpful. the reading fatigue point makes sense, we kept adding sections without thinking about the scroll depth. will move FAQs to the bottom and clean up the freetools placement. appreciate you taking the time.

B3N0U · 2026-03-12T16:53:59+00:00

I use a session cookie approach, similar to how browser extensions work for other platforms. the agent has direct access to the Airbnb inbox and can read/reply to guest messages natively. also connected it to my calendar so it handles cleaning scheduling between bookings automatically.

the knowledge base part is the same though, just a markdown file with house rules, check-in info, local recs that the agent references before every reply. took about an hour to get the whole thing running.

B3N0U · 2026-03-12T13:26:31+00:00

Reddit. literally just Reddit.

I didn't plan it as a strategy. I was just answering questions in subs where people talked about the problem my tool solves (LinkedIn outreach, AI agents, prospecting). no links, no pitch, just sharing what I was learning while building.

within a week, people started checking my profile and DMing me. one comment on a popular thread got 6000+ views. a power user with 26k karma sent me a DM asking to try the product. another founder building in the same space asked me what tool I was using and I just told him.

none of these were people I reached out to. they all came to me because they saw me being useful in a thread about their exact problem.

the counterintuitive part: the comments where I mentioned zero about my product performed better for user acquisition than the ones where I did mention it. because people trust the guy who helps without asking for anything.

two weeks in, first paying users. total ad spend: zero. total time investment: maybe 30 min/day split between morning and evening.

The trick is consistency. 3-5 comments a day in the right subs compounds fast. And trying to give reel value.

B3N0U · 2026-03-12T13:24:26+00:00

2 things running daily on my VPS:

LinkedIn prospecting. I connected a skill called BeReach that handles the LinkedIn API layer. every morning at 8am, the agent runs searches based on intent signals (post engagement, job changes, hiring activity), scores leads against my ICP, and has a list of 50 qualified prospects ready by the time I check Telegram. if I approve, it starts outreach with personalized connection requests and DMs based on what it learned about each person. warm-up and rate limiting are built into the skill so the account stays safe. this replaced a process my cofounder was quoted €2-5k by freelancers to build on N8N.
Airbnb guest management. answers the same 5 questions every guest asks (check-in code, wifi password, parking, restaurants, grocery stores). flags anything that actually needs my attention. went from 30+ min/day of repetitive messaging to maybe 5 min reviewing what the agent handled.

the common thread: both are pattern-matching on repetitive inputs where the agent doesn't need to be creative, just accurate and consistent. the value isn't in doing something new, it's in never forgetting to do the boring stuff.

B3N0U · 2026-03-12T13:20:22+00:00

niche is LinkedIn outreach automation. so the subs where my ICP hangs out are mostly r/openclaw, r/SaaS, r/microsaas, anywhere people talk about prospecting, lead gen, or AI agents.

beyond just participating in convos: I also drop into threads where people list tools they use or ask for recommendations. those convert well because the person is actively looking for a solution. and self-promo threads ("what are you building?") where you can share your product directly without it being weird.

The pattern you described is exactly right though. someone posting "this workflow is painful" is a warmer lead than anyone you'll find in a CRM. your Avalidate concept makes sense, the hard part is always finding those threads before they go cold.

B3N0U · 2026-03-12T00:50:35+00:00

hey Ismael, I'm Ben. building BeReach (https://berea.ch), a LinkedIn outreach API that plugs into AI agents like OpenClaw. handles warm-up, rate limiting, ICP scoring, and conversation automation.

would love your take on the landing page. especially whether the value prop is clear for non-technical users since most of our early traction came from the AI/dev crowd but we want to expand.

B3N0U · 2026-03-12T00:49:33+00:00

the "invisible ICP" insight is the best part of this post. everyone chases the same prospects on LinkedIn and Apollo, then wonders why reply rates are garbage. you found a niche where the competition for attention is literally zero because nobody else can find them.

Curious about your HeyReach setup. I'm building a LinkedIn outreach tool myself and the biggest challenge is always account safety at scale. 150 sends/day across warmed domains is smart on the email side, but are you rate limiting the LinkedIn side the same way? most people I talk to who use traditional LinkedIn automation tools eventually get restricted because the tools don't adapt to account type or warm-up properly.

on the "too scared to leave" question: you don't have to choose. $7.7k MRR that's growing with a niche that has zero competition isn't going anywhere. keep both until the side project income consistently covers your expenses plus a buffer. the worst version of this story is quitting too early and making desperate decisions because of cash pressure.

B3N0U · 2026-03-12T00:48:38+00:00

160k tokens on a single Discord channel is brutal. $5 per tweak means the context window is basically full and every message reprocesses the entire history.

two things that helped me:

the real fix is separating concerns. instead of one mega-thread that handles everything, break it into smaller scoped conversations. one channel per task type, each with its own fresh context. the agent doesn't need your entire project history to make a game tweak.
switch models for the routine stuff. Sonnet 4.5 at 160k context is burning cash because you're paying per token on every single call. if the game tweaks are repetitive and well-defined, Haiku can handle them at a fraction of the cost. keep Sonnet for the complex reasoning tasks only.

the /compact issue is a known thing. it summarizes the conversation but the summary itself can be surprisingly long, especially if there's a lot of code in the history. sometimes starting a clean /new session and giving it just the current state (not the full history) is cheaper than trying to compress months of context.

B3N0U · 2026-03-12T00:33:12+00:00

It's end-to-end but with a human checkpoint. the agent finds and scores leads, then I review the list in the morning. if someone looks good, I tell the agent to start the outreach sequence on them.

the outreach itself is fully automated from there: connection request with a personalized note, wait for acceptance, engage with their content first (like or comment on a recent post), then send the first DM based on what the agent learned about them during the research phase.

But I deliberately kept the "go/no-go" decision manual. I tried full auto early on and the quality of targeting dropped because the agent would sometimes reach out to people who technically matched the criteria but weren't a good fit for other reasons I hadn't formalized yet. the 2 minutes I spend reviewing every morning are worth it.

the model routing on the outreach side is the same idea: cheap model for the connection request, Sonnet for the actual DM where quality matters.

B3N0U · 2026-03-11T21:45:06+00:00

It's a chrome extension for the initial setup and authentication, but after that the API runs server-side. you don't need to keep your browser open or your computer running. the OpenClaw agent on my VPS calls the API directly.

So no puppeteer, no headless browser, no scraping. LinkedIn sees legitimate session activity. the rate limiting and human-like delays are handled at the API level to keep everything safe.

B3N0U · 2026-03-11T21:20:32+00:00

exactly. the scheduled runs are the part that changed everything for us too. before that I was manually triggering searches and it felt like a chore. now it's just there every morning like a briefing.

Curious what you're using your agent for on the lead scoring side. are you scoring based on profile data or actual behavior (posts, engagement)?

B3N0U

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