Project-first publishing workspace

Source to post.
Still sounds like you.

Guided wizard, emotion-aware style, and human-approved automation for technical founders who want a repeatable publishing system from source to final post.

Wizard flow for the first publish-ready package Emotion-aware style to tune tone and cadence Auto mode with human approval before publish

Get Early Access → See How It Works

𝕏 X in LinkedIn ▲ Reddit f Facebook Pages ▶ YouTube

Social Pub Hub — Wizard Flow

Voice Agents / Why emotional coherence matters in AI systems

Wizard step 4 of 5· Emotion signal: curiosity + conviction ·Review-ready

Canonical Draft LinkedIn Reddit Facebook Pages ▶ YouTube

Source set: note + paper + screenshot.

Canonical angle: why emotional coherence matters in production voice agents.

Style pass keeps the draft direct, grounded, and emotionally coherent with the point being made.

Next action: queue 4 variants or send to human review.

✦ Emotion-aware style pass complete ✓ Automation provenance attached

Workflow Example

One real idea.
Three connected states.

This is the point of the product: the source material stays attached, the canonical draft stays clear, and the final variants stay traceable back to the original thinking.

01 — Source Pack

Start with actual material

No blank page. A post begins with saved evidence, notes, and context inside the right project workspace.

Paper GoEmotions / emotional coherence notes tagged to the Voice Agents project

Founder note "Users react to latency and tone before they can explain why"

Screenshot Conversation artifact showing where wording was accurate but the response still landed wrong

02 — Canonical Draft

Shape the core idea once

The wizard builds one canonical draft, then the style engine tightens voice, phrasing, and emotional weight before anything gets adapted.

Angle Why emotional coherence matters more than raw model accuracy in production voice agents

Style pass Direct, founder-voiced, emotionally aligned with the argument, and free of banned filler

Review state Queue-ready package with provenance, checklist, and human approval still intact

03 — Platform Outputs

Adapt with intent

Variants stay native to each network while still pointing back to the same underlying idea and source chain.

X Compressed into a direct founder take with a thread-ready opening claim

LinkedIn Restructured into hook, supporting points, and discussion CTA for a broader professional audience

Reddit / Facebook / YouTube Context-first discussion, accessible page version, or metadata bundle when the idea anchors a video

Core Features

The workflow, not just the composer.
Built around how founders actually publish.

Built local-first for macOS and iOS. Start with sources, move through a guided wizard, refine with emotion-aware style, then hand off to queue, history, and human-approved automation.

📥

One-Click Capture

Capture links, notes, files, screenshots, and share-sheet inputs with source provenance attached from the start.

🧠

Project-Scoped Context

Projects, post workspaces, inbox, library, queue, and history stay in one system so context compounds instead of scattering.

✍️

Wizard Flow

The default path: pick a project, add sources, generate a canonical draft, create variants, then queue the review-ready package.

🎙️

Style Engine

Style controls, exemplars, banned phrases, and emotion-aware adjustment help the output land with the right voice and weight.

📡

Automation

Auto Mode can discover topics, draft posts, build variants, and package outputs for review on a recurring schedule.

📦

Bundles + Variants

One canonical draft can become platform-native outputs and coordinated bundles without rewriting from scratch.

Explore All Features →

Why it sticks

Designed to create fast trust.
Then compounding leverage.

Project-first

Source, draft, variants, queue, and history stay attached to the same project and post workspace. The product remembers what the idea was actually about.

Context compounds

No broken chain between source and publish

Emotion-aware

The style engine does more than tone sliders. It detects emotional signal and helps adjust cadence, emphasis, and phrasing so drafts do not come out flat or off-key.

Keep your voice

Learn from accepted posts, not generic templates

Human-in-the-loop

Automation does the prep work: topic discovery, draft packaging, variants, covers, and run logs. Final publish still stays with the human operator.

Automate the prep

Keep approval and accountability

FAQ

Answer the real objections.
Before the signup form.

Most founders do not need another scheduler. They need to know whether this will fit their workflow, keep their voice, and stay under human control.

Is this another social scheduler?

No. The wedge is source to post. Social Pub Hub keeps project context, source material, canonical draft, variants, queue, and history connected. Scheduling is downstream of the actual writing system.

What does automation actually do?

Automation can discover candidate topics, package drafts, generate variants, and prepare review-ready runs on a schedule. Final publish still stays with the human operator.

How is the style engine different from generic AI rewrite tools?

It does not just paraphrase. It uses your accepted posts, exemplars, banned phrases, project overrides, and an emotion-aware model to adjust tone, cadence, and emotional weight so drafts land closer to your actual voice.

Who is this built for first?

Technical founders and operators posting from real work. Best fit: people who save links, notes, screenshots, and product lessons all week, then need a fast path to platform-native posts that still sound human.

Join the Waitlist

Build from sources.
Publish with a system.

Join the waitlist for early access to the macOS and iOS launch. Built for technical founders who want a repeatable publishing workflow, not another scheduler.

No spam. No autopublish without review.

Social Pub Hub · macOS & iOS · Local-first · Private by default

Source to post.Still sounds like you.

One real idea.Three connected states.