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"edit_control": { "__typename": "EditControlInitial", "edit_tweet_ids": [ "2100224777474408704" ], "editable_until_msecs": "1789571181000", "edits_remaining": "5", "is_edit_eligible": true }, "is_translatable": false, "legacy": { "bookmark_count": 35, "bookmarked": false, "conversation_id_str": "2100224777474408704", "created_at": "Wed Sep 16 14:06:21 +0000 2026", "display_text_range": [ 0, 276 ], "entities": {}, "favorite_count": 23, "favorited": false, "full_text": "We've started converting 2-3x more lead magnet commenters by using this AI agent that watches, scores, and messages your warmest leads automatically as they engage:\n\nA comment on your lead magnet tells you three things:\n\n- The person has the problem\n- They trust you enough to", "is_quote_status": false, "lang": "en", "quote_count": 1, "reply_count": 7, "retweet_count": 0, "retweeted": false, "user_id_str": "1765104997388410880" }, "note_tweet": { "is_expandable": true, "note_tweet_results": { "rest_id": 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timestamps into a central Airtable or Google Sheet automatically.\n\nDedupe on the commenter profile URL so the same person never triggers twice on the same post.\n\nStep 2 is ICP scoring\n\nHave Claude read every commenter's LinkedIn profile and score them 1-10 against your ICP definition.\n\nThe scoring prompt should include: job title match, company size range, industry fit, seniority level, and whether their profile description suggests they have the problem your lead magnet addresses.\n\nThrow out anything below a 7 before you spend a single enrichment credit. Only the highest intent leads move forward.\n\nStep 3 is enrichment\n\nLinkedIn profile URL into Clay for company domain, headcount, revenue, and industry.\n\nFlag everyone who scores 8+ as priority. They get the DM sequence first, same day the comment comes in.\n\nStep 4 is the outreach\n\nClaude writes the opening DM from the signal itself.\n\n\"Hey, saw you grabbed the [lead magnet name], are you currently dealing with [specific pain point the lead magnet addresses] or have you already found a way around it?\"\n\nQualifying question 24 hours after resource delivery and then send a case study once they respond. Specific time and date once fit is confirmed. Five messages maximum.\n\nStep 5 is the repeat engagement filter\n\nThis is where it gets interesting.\n\nThe agent checks every commenter's history weekly. If the same person has commented on two or more of your lead magnets in the last 30 days, they get flagged as a hot lead regardless of their ICP score.\n\nSomeone who has engaged with your content multiple times is not a cold prospect. They are someone who keeps coming back because they still have the problem and haven't solved it yet.\n\nThose people get a separate sequence that references both engagements specifically.\n\n\"Noticed you grabbed both the [lead magnet 1] and the [lead magnet 2] over the last few weeks. Sounds like [specific problem] is still something you're working through. We've helped a few people in your exact situation fix this in [timeframe], would it make sense to spend 15 minutes seeing if we could do the same for you?\"\n\nA cron job runs the full thing every morning. New comment, score, enrich, DM sequence, weekly repeat engagement check. The warmest leads in your pipeline are already raising their hand on your content. This system just makes sure none of them slip through." } } }, "rest_id": "2100224777474408704", "unmention_data": { "id": "VW5tZW50aW9uczoKAAEdJX9OwdYBAA8AAgoAAAAAAA==" }, "view_count_info": { "count": "2331", "state": "EnabledWithCount" } } }, "quoted_tweet": { "type": "tweet", "id": "2100224777474408704", "url": "https://x.com/paolo_scales/status/2100224777474408704", "twitterUrl": "https://twitter.com/paolo_scales/status/2100224777474408704", "text": "We've started converting 2-3x more lead magnet commenters by using this AI agent that watches, scores, and messages your warmest leads automatically as they engage:\n\nA comment on your lead magnet tells you three things:\n\n- The person has the problem\n- They trust you enough to engage publicly\n- They want what you're offering\n\nIf a founder at a 20-person B2B agency comments \"AGENCY\" on your lead magnet about booking more inbound calls, they wrote half your opening DM for you.\n\nHere's how I'd build the agent with Claude Code:\n\nStep 1 is the watch list\n\nSet up Apify to scrape every comment on every lead magnet post you publish, the moment it goes live.\n\nPull commenter profile URLs, job titles, company names, and comment timestamps into a central Airtable or Google Sheet automatically.\n\nDedupe on the commenter profile URL so the same person never triggers twice on the same post.\n\nStep 2 is ICP scoring\n\nHave Claude read every commenter's LinkedIn profile and score them 1-10 against your ICP definition.\n\nThe scoring prompt should include: job title match, company size range, industry fit, seniority level, and whether their profile description suggests they have the problem your lead magnet addresses.\n\nThrow out anything below a 7 before you spend a single enrichment credit. 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