Launching today
Auctra
Verified thought leadership content, in your voice
4 followers
Verified thought leadership content, in your voice
4 followers
Auctra helps experts become known for what they know. Pick your niche and it surfaces timely angles worth writing about this week, drafts LinkedIn posts, X threads, and long-form articles in your voice, then verifies every claim, number, and source in a Trust Panel before you publish. Because one confident fake stat can undo years of credibility. Articles come SEO- and AEO-ready, in 14 languages. Start free, no card required.
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Hey Product Hunt 👋
I'm Divyan, founder of Keshiha - and I built Auctra after watching the same thing happen over and over: smart founders and professionals using AI to write faster, then publishing a confident stat that simply didn't exist. When anyone can generate five posts a day, credibility becomes the scarce asset.
And honestly, everyone here already knows this problem in their bones: you can build something great, and being known for it is still the other half of the job. That's the half Auctra works on.
Auctra works the way a serious expert actually needs:
Signals - pick the areas you want to be known for (150+ interest categories), and it finds the angles worth writing about this week, graded by evidence strength and audience fit.
Your voice - LinkedIn posts, X posts and threads, and long-form articles for WordPress/Substack, shaped by your brand profile, tone, and keywords. Works in 14 languages.
Trust Panel - before you publish, you see exactly which claims were checked, which numbers were verified, and which sources were reviewed. What can't be supported gets flagged or rewritten.
Proof it works without a manual: one day after launch, one of our first users - my wife, actually, who works in hospitality - picked her space and published her first post from her account with under 1,000 followers. A week in: 3,375 impressions, 2,600 people reached, and 95% of that reach came from outside her own network! LinkedIn distributed it on relevance, not connections. 62% of viewers were in her industry, including people at Marriott, Accor, IHG, and Four Seasons, and industry veterans with decades in the field engaged with her post in the comments. The algorithm rewarded relevance; the Trust Panel made sure the claims held.
Auctra is live - start free, no card required. I'll be here all day - ask me anything, and I'd love to hear the worst fake stat an AI has ever tried to feed you.
Be known for what you know.
honestly the trust panel idea is really smart but it would be great if you could also track how your posts perform after publishing, like views and engagement tied back to each piece so you know which angles actually land with your audience.
@selim395256 Thanks - and fair push, this comes up for a reason.
We thought hard about closing that loop, and drew the line deliberately. Tracking per-post performance would mean asking every user for account-level access to their LinkedIn/X - a lot of trust to ask for, for data those platforms already show you natively. And there's a philosophical piece: no system can honestly promise you what will land - we even say in our FAQ that Auctra doesn't guarantee reach or engagement. What a system can do is stack the inputs that correlate with landing: a timely angle, evidence behind it, your actual voice, and claims that survive checking. That's the half we built.
That said, the early signal is encouraging - the first-post story in my comment above (95% out-of-network reach on a sub-1k account) is exactly the pattern we hoped the angle-plus-verification approach would produce.
Where I think you're right: knowing which angles resonate is valuable even without platform hooks. A lighter version - letting you mark which published pieces performed, so signal selection learns your audience over time - is the shape I'd explore before full analytics. Is that closer to what you'd want, or is it specifically the automated numbers you're after?
One thing that would really help me is a way to set a custom "voice anchor" by pasting in 3 to 5 of my past posts so the drafts actually sound like me from day one instead of needing weeks of edits to feel authentic.
@ekinkaraahmet Thanks - and you'll be glad to hear you're describing something close to how Auctra already works.
Every draft is shaped by your Brand Profile - voice, tone, audience, keywords, your topic areas - so drafts land sounding like you from the first generation, not like a generic AI that needs beating into shape. That's why the first-post story above didn't need weeks of edits.
But the specific thing you're pointing at - paste a few past posts and let Auctra work out your voice from them - is honestly more natural than asking people to describe themselves. Most of us can't put our own tone into words. We can all point at five posts and say "that's me." Show, don't describe.
One thing we'd hold onto either way: the goal is your voice on new thinking, never remixes of your old posts.
This one's going on the shortlist with your name on it. Curious though - would you feed it the posts that performed best, or the ones that feel most you? They're rarely the same five, and the answer changes what we'd build.