
PROMPTMACHINE · A Prompt Engineering Instrument, Not an Assistant
Structure AI prompts using 90+ cognitive actions and 149 specialist roles.
@zeprompt · X
Prompt Machine — Turn intentions into structured prompts.
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3788 projects

Structure AI prompts using 90+ cognitive actions and 149 specialist roles.
@zeprompt · X
Prompt Machine — Turn intentions into structured prompts.

Marketplace connecting creators and buyers to exchange digital products with secure delivery.
@quatcrypto · X

Collect and showcase customer testimonials from social media and review platforms.
@imharikumaran · X
— Collect, manage and showcase customer testimonials in minutes. Because your customers can often sell you better than you can.

Generate LinkedIn infographics and charts from ideas, CSV, or Excel data.
@manthornelabs · X
We make LinkedIn graphics for B2B founders

Monetization infrastructure for creators to sell subscriptions, PPV, paid messages, and manage payouts.
@LusferaHQ · X
- growth and monetization infrastructure for creator businesses.

AI agent tracking PDF engagement and drafting follow-ups for proposals and pitch decks.
@Naftali_JR · X
Document engagement tracking

Ask questions about your GA4, Google Ads, and Search Console data to generate shareable reports.
@nimitkapoor07 · X

AI agent that automates content creation and outreach to improve AI visibility.
@Joselugarcia121 · X

Buy button that lets customers name their price privately to reduce cart abandonment.
@HagglerrApp · X

@Joi2James https://t.co/7ZFmHP3pof
@nevermindeither · X

Design and deploy AI agents that automate tasks across software without requiring APIs.
@gabebenchimol · X

Turn documents into a searchable wiki with AI-verified, fact-checked answers.
u/Calm-Tomatillo-7770 · Reddit
Is vibe coding criticism fair? A lot of the criticism of vibe coding is fair. Too many projects look good in a demo then fall apart in production — weak security, missing edge cases, code nobody understands later. One of the biggest gaps is testing (or the total lack of it). I took both automated and manual testing seriously while building Brainary. Ended up with a testing-to-code ratio of about 1 to less than 3, plus a lot of hands-on checking. I think it turned out solid because of that.