I built a Claude Code skill that finds customers, not competitors, on Reddit & LinkedIn A developer built an open-source Claude Code skill called delta-engage that finds potential customers on Reddit and LinkedIn by searching for the pain points buyers voice rather than category keywords. The skill filters out competitor sales posts and prepares personalized engagement drafts while requiring manual posting to avoid spam penalties. It uses cookieless LinkedIn discovery and Reddit-safe drafting practices, running on the user's own Apify token. I do consulting. Like most people who sell a service, I know I should be active on Reddit and LinkedIn โ€” finding people with the problem I solve and being genuinely helpful. I never do it consistently, because the manual loop is miserable: search, scroll, judge relevance, figure out what to even say, repeat. So I tried to automate the boring parts with a Claude Code skill. And the first version taught me something that reframed the whole thing. My first runs surfaced ~10 posts that all matched my topic โ€” and were almost entirely other consultants posting sales content. Competitors. Not a single actual buyer. It took me a minute to see why, and it's obvious in hindsight: keyword search returns whatever is published about a topic, and what's published is supply-side. Search "leadership consulting" and you get people Completely different words. So the fix wasn't better ranking โ€” it was searching the pain your buyer voices, not the category you sell. delta-engage https://github.com/newan2001/delta-engage is an open-source Claude Code skill. Twice a week it: buyer / peer competitor / kol / noise โ€” so a competitor's sales post never shows up as a leadThe one rule it never breaks: you write the final comment and post it manually from your own account. It prepares; you act. plaintext ๐ŸŽฏ Engagement digest โ€” Thu 18 Jun 2026 ยท 2 to engage ยท 1 partnership ENGAGE your ICP Comment edit before posting : The fix that worked for us wasn't a new tool โ€” it was deleting the ~40% of alerts that never led to action, then routing the rest by severity. What's your noisiest alert source right now, and does anyone own tuning it? โš ๏ธ Safety: r/ExperiencedDevs โ€” no tools/links; keep it experience-led, personalize before posting. ๐Ÿค PEERS & PARTNERSHIPS relationship plays โ€” engage, don't pitch Logistics in scripts, judgment in prompts. The deterministic, fragile stuff โ€” scraping, dedup, the ranking math, recurrence tallying โ€” lives in Python that runs without loading into the model's context. The judgment โ€” refining the ICP, classifying intent, drafting the comment โ€” is left to Claude. Keeping those separate made the whole thing both cheaper and more reliable. Cookieless by rule. LinkedIn discovery uses only logged-out/public actors โ€” it never touches your session, so there's zero account-ban risk. The adapter literally refuses any input carrying a session cookie. You engage manually anyway, so the skill never needs your login. Reddit-safe drafting. Reddit's spam filters punish link-dropping, copy-paste comments, and โ€” increasingly โ€” AI-sounding text. So the skill bakes in the current anti-shadowban practices the 9:1 rule, per-subreddit norms, new-account ramps and treats "personalize the draft before posting" as a safety requirement, not just etiquette. BYOK. It runs on your own Apify https://apify.com token. No shared keys, no lock-in, no licensing chokepoint โ€” a lesson the whole "Proxycurl shut down and stranded everyone" saga taught the space. One paste into Claude Code โ€” it clones the skill and runs setup: bash git clone --depth 1 https://github.com/newan2001/delta-engage.git ~/.claude/skills/delta-engage && cd ~/.claude/skills/delta-engage && ./setup Then run /delta-engage . The first run reads your site/docs to draft your ICP you confirm it , does a live digest so you see it work, and offers to set a Mon/Thu routine that delivers to Slack, Notion, or just in-app. It's MIT-licensed and on GitHub: github.com/newan2001/delta-engage https://github.com/newan2001/delta-engage If you try it, I'd genuinely love feedback โ€” especially on the intent classification, since that's where the "customers not competitors" magic either works or doesn't. Issues and PRs welcome.