What is a Synfluencer?

Show up every day, on every platform, without it eating your day.

Synfluencer finds the trends worth posting about, drafts in your voice, makes the images and video, and schedules everything. You approve. That's the whole job. Run it as yourself, as your brand, or as a persona you build from scratch.

$5 in free credits to start. No subscription. Every post passes your approval before it ships.

Across the whole workflow

Trend DiscoveryContent CreationVideo GenerationPost SchedulingSocial MonitoringQC AuditingMulti-Platform PublishingEngagement RepliesAnalytics ReportingImage GenerationCaption OptimizationSkill OrchestrationBrand FidelityBudget Cap EnforcementVoice Drift DetectionEvergreen ResurfaceDiversity GuardTrend MonitoringDeep ResearchCompetitor WatchlistTrend DiscoveryContent CreationVideo GenerationPost SchedulingSocial MonitoringQC AuditingMulti-Platform PublishingEngagement RepliesAnalytics ReportingImage GenerationCaption OptimizationSkill OrchestrationBrand FidelityBudget Cap EnforcementVoice Drift DetectionEvergreen ResurfaceDiversity GuardTrend MonitoringDeep ResearchCompetitor Watchlist

Simba is not a mockup.

@simbasyn is a synthetic persona running on Synfluencer right now, posting to X, Instagram, TikTok, YouTube, and more. Every trend it covers came out of Observatory. Every caption came out of Content Creation. Every video was generated on the platform. We don't touch it except to approve.

Go look. Check the timestamps. The account is the demo.

16 posts published7 platforms63 followers and counting0 ghostwriters
Updated Jul 1, 2026

Good ideas usually get stuck between one step and the next.

You see something worth posting about on Tuesday morning. By the time you've written the thread, resized the image, rewritten the caption for LinkedIn, and found a slot in your calendar, it's Thursday and the moment is gone. So most people pick one platform, post when they can, and quietly give up on the rest.

The research eats your morning. The drafting eats your evening. And after all that, half of what you publish still reads like a robot wrote it.

That's the gap Synfluencer closes.

Two minutes, the whole pipeline, no narration tricks.

Keep the work moving

Observatory finds the opening. The skill layer sharpens it. Content Creation turns it into drafts. The Scheduler keeps the queue moving.

This month

148

Posts shipped

Approved drafts96
Scheduled posts38
Reply packs14

Product UI shown with sample data.

Observatory — trend research: stop finding out about trends after they peak.

Observatory watches X, Reddit, TikTok, YouTube, Hacker News, and seven other sources, then hands you the angle while it is still rising. Not a topic label. An actual brief: what is happening, why now, and which formats fit. One brief becomes an X thread, a LinkedIn post, a TikTok script, and an Instagram caption before the conversation moves on.

Trend package ready4 formats

Claude vs OpenAI vs Gemini: workflow fit matters more than the leaderboard

One sharp brief becomes an X thread, LinkedIn post, TikTok script, and Instagram caption before the moment passes.

Brief sharpened, angle clarified, claims checked, voice kept in bounds.

X threadLinkedIn postTikTok script

Product UI shown with sample data.

Content Creation — drafting: drafts that do not need rescuing.

Most AI drafts arrive 70% done and the last 30% is the part you hate. Synfluencer's skill layer tightens the brief before writing starts, checks the claims against sources, and strips the synthetic gloss so what lands in your approval queue is close to shippable. You edit lines, not whole posts.

Today's scheduleSimba

22

Queued

04

Replies due

09

Assets live

Product UI shown with sample data.

Scheduler — publishing: approved work should not sit in a drawer.

The Scheduler keeps your queue moving across every connected platform, in your timezone, at the cadence you set. Daily, three times a week, whatever holds. Good posts stop getting stranded between approved and published.

See the whole pipeline at once

You should not need three tabs and a buried comment thread to figure out what happened to a good idea. The skill orchestration layer keeps the reasoning attached while the work moves.

Built-in skill orchestration layer

This is the part that keeps the workflow from going flat. Each skill does a different job inside Observatory, drafting, approvals, and QC, so the work keeps its shape as it moves.

See it in action
01

Surface insight finds the angle early

It runs inside Observatory, pulls a real "why now" from the noise, and gives drafting something sharper than a topic label.

02

Prompt sharpening tightens the brief

Before Content Creation starts writing, it cleans up vague instructions so the draft has a point and the hook has direction.

03

Support with evidence checks the strong claims

It reviews the draft against the source context before approvals, so the user is not left guessing what needs a caveat.

04

Humanizer strips out the synthetic gloss

It cleans up polished filler, stiff phrasing, and obvious model tells so each Synfluencer still sounds like a real account.

Built for the people doing the posting.

For creators

You have a voice and no time. Synfluencer learns how you actually write from your real posts, then keeps you visible on every platform while you do the work you’re known for. You stay in the approval loop. Your audience never knows the difference, because there isn’t one.

Start with your own voice

For ghostwriters and agencies

Every client is a separate Synfluencer with its own voice profile, its own social connections, its own approval gates, and its own usage tab. Voices never bleed into each other. The Comparison page shows the whole portfolio side by side, and pay-as-you-go pricing means each client’s costs are theirs, down to the cent. Bill accordingly.

Run your client roster

For brands and solo founders

You know you should be posting. You’re not going to hire someone to do it. Set up your brand voice once, set the cadence, and review a queue twice a week instead of staring at a blank compose box every morning. The Watchlist keeps an eye on your competitors while you’re at it.

Set up your brand voice

A Synfluencer should not sound like every other account

The workflow matters, but voice matters more. Your own account, a brand profile, or a synthetic persona should each keep a distinct point of view instead of flattening every post into the same bland recap.

FO
Founders
AI
AI & Tech
FI
Finance
ED
Education
GM
Gaming
LF
Lifestyle
MU
Music
FA
Fashion

Simba

@simbasyn

Synfluencer turned a Claude vs GPT-5.4 debate into a post sequence, slotted the next publish window, and left the follow-up explainer waiting for approval.

Trend queue

Fri 21, 8:50 AM

Scheduled
Next task: turn the strongest Claude angle into an X thread, LinkedIn post, TikTok script, and Instagram caption.

A Synfluencer is more than a prompt and a niche

Every Synfluencer carries a full identity. Age, location, education, occupation, hobbies, favorite movies, relationship status, even whether they drink coffee or tea. These details aren't decorative. They are what let the system feel like a mirror of you when you want it to, or like a believable synthetic persona when you want to build from scratch.

01

Voice calibration

Paste up to five real posts. The system learns vocabulary, rhythm, and sentence structure from your actual writing, not from a tone dropdown.

02

Interests that steer discovery

Special interests like 'Claude', 'Solana', or 'kettlebell training' bias trend research toward the topics your audience actually follows.

03

Audience profile

Age range, pain points, timezone. The scheduler, the strategist, and the content creator all read from the same audience brief.

04

Platform priority

Rank your platforms. TikTok first, LinkedIn second, blog third. The strategist respects that order when deciding where to focus.

05

Posting cadence

Daily, three times a week, or weekly. Pick the days, set the content mix between video, images, and written posts, and the pipeline holds to it.

06

Budget and guardrails

Set a monthly spend cap. The system tracks every AI generation call and stops before the ceiling, so there are no surprise charges.

S

Simba

@simbasyn

Active

Niche

Developer

Tone

Witty & Humorous

Age

32

Location

Austin, Texas

Interests

claudeopenaigeminicrypto

Platforms

XLinkedInTikTokBlog

Occupation

AI Engineer & Content Creator

Education

MS Computer Science, Stanford

Hobbies

MeditationRock ClimbingWriting Sci-fiBuilding

Favorite movies

The Matrix, Inception, Everything Everywhere All at Once

Favorite foods

South Indian Thali, Texas BBQ, Vietnamese Pho

Relationship

Single

Language

English

Timezone

EST

Voice examples (2 of 5)

"Claude Opus 4.6 is good at the thing nobody talks about: knowing when to stop generating and just say it doesn't know."
"Hot take: most AI wrappers fail because they optimize for demo day, not for the Tuesday afternoon when nothing works."

Twelve sources. One read on what's actually happening.

Most tools search the web and call it research. Observatory pulls live signals from X, Reddit, TikTok, Instagram, Threads, Pinterest, Bluesky, YouTube, Hacker News, Polymarket, GitHub, and the open web, then runs them through a scoring pipeline that filters noise, merges duplicate stories across platforms, and ranks what matters by real engagement.

The same topic trending on Reddit and X gets consolidated. One poster flooding a feed gets capped. And the final synthesis turns raw signals into angles worth drafting.

01

Cross-source clustering

Same story on three platforms? You see it once, with all the sources attached.

02

Per-author caps

One prolific poster can't flood the results. Diversity is enforced automatically.

03

Comparison mode

Search 'React vs Vue' and get a structured head-to-head instead of two separate searches.

04

Deep Research

Toggle on Perplexity analysis for deeper context most surface level tools miss.

05

Best Takes

Humor scoring surfaces the quotes and one-liners your audience would actually share.

06

Pre-pipeline resolution

Search 'OpenAI' and the system already knows to check @OpenAI on X and r/OpenAI on Reddit.

Observatory

Trend signals

XRedditTikTokInstagramThreadsPinterestBlueskyYouTubeHNWebPolymarketGitHub

Claude Opus 4.6 coding tradeoffs

XRedditHN3 sources merged

94

Rising

Open-weight model licensing debate

RedditHNGitHub2 sources merged

87

Rising

TikTok AI tool demos hit 2M views

TikTokInstagramThreads

82

Viral

Polymarket odds on GPT-5.4 launch

PolymarketX

78

Watching

Best Takes

🔥"The real benchmark for Claude Opus 4.6 isn't code gen speed. It's how many times it says 'I don't know' correctly."X · 89%

Track competitors and topics without refreshing anything

The Watchlist tab tracks two things: accounts and topics. Add a competitor handle on any platform and it syncs their posts, detects when something goes viral, and flags the gap between their strategy and yours. Add a topic and it runs the full Observatory pipeline on a schedule, or manually when you want, and tells you what changed since last time.

01

Account monitoring

Track competitor accounts across 13 platforms. Get burn alerts when a post hits 2x their average engagement.

02

Topic monitoring

Watch any topic on a schedule. See exactly which trends are new since your last check.

03

Cost conscious

Auto-monitor is off by default. Run manually anytime, or turn on scheduled runs when you're ready.

04

Gap analysis

AI compares your content strategy against competitor activity and tells you what they're not covering.

Watchlist

Accounts & Topics

@techcrunch

Burn alert

X · 142 posts · Synced 2h ago

@mkbhd

YouTube · 38 posts · Synced 2h ago

@levelsio

X · 89 posts · Synced 2h ago

Monitored topics

"AI agents"

Checked 2h ago

3 new

"open source LLMs"

Checked 2h ago

1 new

“Can't I just do this with ChatGPT and Buffer?”

You can. Plenty of people do. Here's what that actually looks like after week two: you're hunting for trends manually, re-explaining your voice in every new chat, pasting drafts between four tabs, and your scheduler has no idea why anything was written. The stack works. You're the glue. The glue is the job you were trying to get rid of.

Trend research
ChatGPT + scheduler: You, scrolling
Synfluencer: 12 sources, scored and merged, on a schedule
Voice
ChatGPT + scheduler: Re-prompted every session
Synfluencer: Calibrated once from your real posts, enforced by QC
Drafts
ChatGPT + scheduler: Pasted between tabs
Synfluencer: Brief → draft → approval in one queue
Video
ChatGPT + scheduler: Separate tool, separate bill
Synfluencer: Talking head, AI video, and motion video built in
Replies
ChatGPT + scheduler: Manual
Synfluencer: Drafted and waiting before the post goes live
Quality control
ChatGPT + scheduler: You, squinting
Synfluencer: Voice drift and claim checks before you ever see it
Cost
ChatGPT + scheduler: $20/mo + $15/mo whether you post or not
Synfluencer: Pay per action. Quiet month, tiny bill.

The pieces aren't the hard part. The handoffs are.

The win is simple: the work keeps moving.

24/7

Coverage that doesn't clock out

12

Platforms searched for trend signals

1

Shared view of what's next

Daily

Cadence you don't have to babysit

01

What changes

A signal gets picked up. A draft takes shape. A queue item gets approved. Replies are ready before the post goes live. The skill orchestration layer keeps sharpening and checking along the way, so the handoff stops being the bottleneck.

What Synfluencer keeps moving

ObservatoryLaboratoryContent CreationV-GENI-GENPostSchedulerAnalyticsConnectVaultApprovalsReply WorkflowsPublishing QueueBrand GuardrailsWatchlistObservatoryLaboratoryContent CreationV-GENI-GENPostSchedulerAnalyticsConnectVaultApprovalsReply WorkflowsPublishing QueueBrand GuardrailsWatchlist

Why users keep it around

The system gets easier to trust when the context stays with the work, the next step is obvious, and the drafts do not all come back sounding machine-made.

Start now
01

Talking videos in your Synfluencer's own voice

Record a short voice sample, and your talking videos use a clone of that voice instead of a stock narrator. Phone and Room Audio modes finish the take so it sounds like a real recording.

02

The skill orchestration layer keeps the work from going generic

The brief gets tightened, the angle gets clearer, the claims get checked, and QC has something concrete to react to. The user is not left cleaning up vague drafts after the fact.

03

Each Synfluencer keeps its own voice

Your own account, a market commentary profile, and a synthetic creator can each keep their own tone instead of collapsing into one generic voice.

04

Approvals that do not become a second job.

Review gates, scheduling controls, and history keep things moving without burying you in admin.

No subscription. You pay for output, not access.

Synfluencer runs on credits at a 1:1 dollar ratio. Text actions cost a few cents. A trend research run costs about $0.02 to $0.15. A 30-second talking-head video costs about $3. Buy a pack ($10, $25, $50, or $100) when you need one, set a monthly cap so there are no surprises, and stop whenever you want. Nothing renews, because nothing subscribes.

New accounts start with $5 in free credits. Enough to run discovery, draft a few posts, and generate an image before you spend anything.

Full per-action pricing

The obvious questions, answered straight.

Does anything post without my approval?

No. Every draft, reply, image, and video passes through your approval queue first. Automation moves work toward you, not past you.

Is this for running fake bot accounts?

No, and the review gate is why. Synfluencer is a workflow tool for people who stand behind what they publish, whether that's their own name, their brand, or a persona they openly operate. We run @simbasyn as a synthetic persona and say so in the bio. We'd suggest you do the same.

Is my content used to train AI models?

No. Your drafts, voice profiles, and account data are never used for training. Models see your data at inference time only, and only what's needed for that one request.

AGN, founder of Synfluencer

I built Synfluencer because I was the bottleneck in my own content pipeline. The ideas were fine. The execution kept dying somewhere between the research tab and the scheduler. Most of my posts on @AGNonX come out of the same product you'd be using, and I check that queue every morning like everyone else.

— AGN, founder · @AGNonX

Getting started is straightforward.

Fast setupVoice-firstReview-readyNo code required
Get started
01

Shape the persona

Set the niche, writing style, posting rhythm, and guardrails so the workflow can sound like you or the persona you want to run.

02

Connect the destinations

Choose where it researches, drafts, schedules, and publishes so the workflow is already connected on day one.

03

Start the daily loop

Let discovery, briefs, drafting, replies, media, and scheduling hand off cleanly while you stay in the approval flow.

The work keeps moving. That's the whole pitch.

Set up a persona in a few minutes. Connect a platform. Run one trend search and see what comes back.