AI app for marketing · no coding needed
Social content research and publishing workspace
Run research, writing, scheduling and performance review in one owned workspace.
Made for: Creators and founders running their own social content on X

What it does for you
The problem
Content research, writing, scheduling and analysis are split across several subscriptions, so the workflow and the audience data live outside the creator's control.
What it gives you
Reviewed posts, threads and a publishing calendar
What you give it
Permitted X historyniche signalsperformance data
Build your own version of SuperX, Stanley For 𝕏 and more
One app with what these 3 AI tools do, yours to keep and change: SuperX, Stanley For 𝕏, Trend Seeker.
Everything these tools do, in one app
- Content inspiration feed Provides a daily feed of viral posts in your niche to spark ideas.Found in SuperX
- Trend research Identifies what content is performing well based on current trends.Found in SuperX, Stanley For 𝕏
- AI content rewriting Quickly rewrites content in your voice using AI.Found in SuperX
- Automated scheduling Automatically posts content at optimal times.Found in SuperX
- Engagement suggestions Suggests accounts to interact with for discovery.Found in SuperX
- Built-in analytics Tracks performance to help you double down on successful topics.Found in SuperX
- Voice matching Syncs with your X history to match your tone and posting patterns.Found in Stanley For 𝕏
- Content generation Generates tweets, threads, hooks, and expanded content from rough ideas.Found in Stanley For 𝕏
- Multi-channel access Allows you to start by texting and switch to a web or messaging interface for longer work.Found in Stanley For 𝕏
- Proactive coaching Provides coaching on niche research, idea generation, and consistency to keep a content cadence.Found in Stanley For 𝕏
- Idea cards Display the problem, source signals, demand trend, competition, opportunity score, and cluster evolution over time.Found in Trend Seeker
- Demand Map Visualizes where related signals concentrate geographically or by theme.Found in Trend Seeker
- Idea Validator Compares your own description against the signal database and returns matching requests and nearby ideas.Found in Trend Seeker
- Multi-source signal collection Collects signals from Reddit, job ads, podcasts, Google Trends, and product launches, with filters for signal quality.Found in Trend Seeker
- Competition analysis Surfaces similar products found across launch directories to gauge market saturation.Found in Trend Seeker
How it works, step by step
- Collect niche signals from permitted sources
- Score and cluster signals into idea cards
- Show a demand map by theme or region
- Validate a user description against the signal database
- Surface similar products from launch directories
- Match the creator's tone from permitted X history
- Generate tweets, threads, hooks and expansions
- Rewrite drafts in the creator's voice
- Suggest accounts to interact with
- Schedule posts at chosen times
- Track post performance
- Coach on niche research and posting cadence
- Accept input by text message or web interface
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before publishing
- Export a versioned reviewed posts, threads and a publishing calendar with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Social content research and publishing workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Social content research and publishing workspace with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links3 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data200 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Run research, writing, scheduling and performance review in one owned workspace. For creators and founders running their own social content on X, convert permitted X history, niche signals and performance data into reviewed posts, threads and a publishing calendar. The benefit is a testable hypothesis, measured through approved posts per research hour and repeat content cycles; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted X history, niche signals and performance data, then follow this sequence: 1. Collect niche signals from permitted sources. 2. Score and cluster signals into idea cards. 3. Match the creator's tone from permitted X history. 4. Generate tweets, threads, hooks and expansions. 5. Schedule posts at chosen times. Resolve uncertain cases with qualified reviewers, approve reviewed posts, threads and a publishing calendar, and measure approved posts per research hour and repeat content cycles against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for scheduling, arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One connected X account and one creator voice profile; final publishing and factual checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve creator voice, source attribution, quotation accuracy and usage permissions. Creators approve substantive changes and publishing scope. One connected X account and one creator voice profile; final publishing and factual checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One connected X account and one creator voice profile; final publishing and factual checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: collect niche signals from permitted sources; score and cluster signals into idea cards. Support the remaining modules with operator review: match the creator's tone from permitted X history; generate tweets, threads, hooks and expansions; schedule posts at chosen times. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Creator-owned X account and permitted signal sources. Cloud storage, scheduling destinations and analytics exports. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Signal and inspiration feed, Draft and voice workspace, Calendar and analytics. Use a thumbnail gallery for saved ideas, a large central editing canvas, and a right-hand panel for sources, voice rules and comments. Let users compare draft versions side by side. Display draft, changes requested and approved states. Provide a review link with comments anchored to the relevant post. Make the task-specific outcome reviewed posts, threads and a publishing calendar visible beside its evidence, review state and value baseline.





