Your blog already has the idea. LinkedIn needs it in a native post — hook, body, CTA — and every draft comes with a measured before/after score, not a promise. Free, without signup.
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Every converted draft runs through the same calibrated engine as the Post Analyzer — and the delta is computed against pasting the source as-is, on every single run.
Toggle between a typical draft and its strengthened edit. Every number below is computed in your browser by the same deterministic scorer the analyzer uses — not a screenshot, not a stock graphic.
What the feed shows before …see more (210 chars)
I am happy to share some exciting news about my professional journey. In today's world, networking is very important for everyone, and I have learned a lot during my time working on various projects. I want to tell you all about my experience with professional development and the growth opportunities that I have encountered along the way. Hard work always pays off, and I am grateful for everything I have learned from my team and my managers over the past few years.…see more
Live output from the same deterministic scorer that powers the analyzer — not a screenshot.
Six published dimensions, hard quality gates, methodology in the open. How scoring works
The instinct is understandable: you wrote something good elsewhere, so you share the link with a sentence of commentary. But LinkedIn’s economics run on dwell time and on keeping readers inside the platform — posts that push people off-site with a body full of outbound links have been treated as lower-reach inventory for years. The result is familiar: the same idea that worked as an article flatlines as a two-line link share, and the author concludes LinkedIn “doesn’t work for their niche” when the format was the problem.
The fix is conversion, not summarization. A LinkedIn-native post carries the argument itself — a hook that stops the scroll in the first two lines, short paragraphs separated by blank lines that survive the “…see more” fold, a payoff the reader reaches without leaving the feed — and the link to the original moves to the first comment, where interested readers will find it and the algorithm is not invited to penalize it. That is the pattern this tool produces by default: it converts the ideas, not just the URL.
Blog-to-post repurposing has become a standard feature — several tools in this niche ship one, and a competent converter is table stakes in 2026. What separates a repurposer from a repurposing workflow is what happens after the draft appears. Most tools hand you text and wish you luck; the text reads plausibly, but whether the hook earns the fold, whether the structure holds attention, whether the CTA reads as an invitation or engagement bait — that is left to vibes.
Here, every draft is scored by the same deterministic engine that powers the Post Analyzer — seven dimensions, hard quality gates, a published methodology. And the comparison is honest by construction: the source itself — the blog’s opening, or the tweet’s text — is scored the same way, so the delta you see is the measured effect of the conversion, not a marketing number. When the delta is large, you know why; when it is small, that is worth knowing too.
The same loop feeds the platform’s quarterly data study: anonymized scores from real conversions accumulate into corpus benchmarks no competitor can publish, because none of them scores.
Paste an x.com or twitter.com status link and the tool fetches the tweet’s text directly, then expands it: a tweet is an argument compressed to 280 characters, and a LinkedIn post gives it room to breathe — the setup, the turn, the takeaway, the ask. The instruction to the converter is strict on one point: develop what the tweet says, never fabricate what it doesn’t. No invented statistics, no phantom case studies, no “studies show” that appeared from nowhere.
That rule is not decorative. Repurposing tools fail publicly when they embellish — a draft that attributes a made-up number to your name is worse than no draft. The hard gates in the scoring engine catch the engagement-bait patterns that embellishment tends to produce, and the source sits right there in the “before” panel so you can check fidelity in one glance.
From blog or tweet to a native post in under a minute.
A blog URL, the pasted article text, or a tweet link. Pasted text takes priority when both are filled; tweet links (x.com or twitter.com status URLs) are fetched automatically.
Insight for a strong opinion argued in first person, story for a narrative arc, listicle for numbered takeaways. The free widget writes one; the in-app version writes all three so you can compare.
The "as-is" badge scores the source pasted straight into LinkedIn. The draft badge scores the repurposed version. Same engine, same rubric — the points are the measured difference.
Copy the draft into LinkedIn as-is. If you want readers to reach the original blog, put the link in the first comment rather than the post body — the first-comment generator writes that too.
How conversion works, what the delta means, and where the link belongs.
Paste a blog URL, the article text, or a tweet/X status link, and pick a format (insight, story, or listicle). HooklyAI fetches the source, converts it into a native LinkedIn post — hook, body, and call to action — and scores it 1–100 with the same deterministic engine as the Post Analyzer. You also see the score of the source pasted into LinkedIn as-is, so the improvement is measured, not claimed. It works without signup.
Rarely. LinkedIn has long down-ranked posts whose body is mostly an outbound link — the platform wants readers to stay on LinkedIn. The stronger pattern is a native post that carries the idea in full, with the link moved into the first comment (which your connection can still reach). This tool writes the native version; the first-comment generator covers the link placement.
No — and not only because Google treats syndicated snippets gently. The drafts here are rewrites, not copies: the tool is instructed to convert ideas into LinkedIn-native structure (short lines, blank-line paragraphs, a hook, a CTA) rather than duplicate sentences. Your blog keeps the long form; LinkedIn gets the adapted argument. Repurposing done this way widens reach without cannibalizing the original.
Yes. Paste the x.com or twitter.com status URL and the tool fetches the tweet text and expands its core idea into a full LinkedIn post — developing the argument and structure while staying faithful to what the tweet actually says. It will not invent statistics or results the tweet does not contain.
This page writes one draft in the format you pick. The in-app Blog Repurposer writes all three formats at once — story, listicle, and insight — so you can compare, personalizes the drafts from your LinkedIn profile when you opt in, and saves your history. A free HooklyAI account includes 30 scored generation requests a month across every tool.
Honestly: several rivals ship a repurposer too, and a good one is table stakes. The difference is what happens after conversion. Every draft here runs through the same calibrated 1–100 scoring engine used across the platform — published methodology, hard quality gates, seven dimensions — and the before/after delta against pasting the source as-is is shown on every run. Conversion without calibration is a slot machine; this is a loop.
A free HooklyAI account writes all three format variants at once, personalizes them from your LinkedIn profile when you opt in, and keeps your history — 30 scored requests a month across every tool, no credit card.
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