Score your tweet before you post

See if your tweet will land — before you hit post.

Paste a draft. Get a quality score, the specific reasons it might get throttled, and a predicted view chart so you know whether the algorithm will push it. No vibe-check from a chatbot — every number is measurable and shows its work.

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no signup required for first 3 scores

Free, no signup. Same scoring engine the paid app uses.

What different tweets actually score

Six real tweets, six real scores from the live engine. Click any card to see the full breakdown — or paste your own above.

Publish59/100verified score from live API
Most local businesses don't have a lead problem. They have a follow-up speed problem. The first three minutes after a missed call decide whether you book or lose the job. What's your floor?
Why this score
Specific niche, contrarian framing, ends with a question — every signal that drives replies and profile clicks fires.
What's driving it
Reply rate predicted at 12% (highest in the showcase)
Will the algo push it
74/100
Quality of writing
44/100
Final quality score
59/100
Want a deeper walkthrough of each example?
Read the case study →

Three problems with how people pre-screen tweets today

01

Vibe-check tools are unfalsifiable

"This tweet looks good" from a chatbot is not a measurement. You can't backtest it, can't calibrate it, can't tell if it's wrong. TweetSim emits 18 action probabilities, composite dimensions, and a view-growth curve — every number is comparable post-to-post and verifiable against your real metrics.

02

"Engagement" isn't one number

A tweet that gets 50 likes and 0 replies is different from one that gets 10 likes and 30 replies. Twitter's algorithm weighs them differently. TweetSim breaks engagement into the actual phoenix-style action set (favorite, reply, retweet, profile_click, follow_author, dwell, share, …) plus the negative actions (mute, block, report) that throttle reach.

03

Nobody shows you the trajectory

Total likes after 24h is the wrong question — by hour 24 the algorithm has already decided whether to push your tweet. TweetSim predicts impressions over time (5min · 30min · 1h · 24h) so you see whether your tweet will hit the velocity threshold the "For You" algo gates on.

Four scoring layers, transparent

Open-source engine. Read the code, fork it, prove the math wrong. We publish the methodology and the calibration scorecard.

Layer 1

Phoenix-style action scorer

Predicted probability for each of 18 user actions, weighted by Twitter's leaked algorithm coefficients. Positive actions (favorite, reply, retweet, profile_click, follow_author, dwell, click) sum upward; negative ones (not_interested, mute, block, report) penalize sharply.

Layer 2

Composite quality scorer

10 dimensions on a 1-10 scale: niche_consistency, reply_trigger_score, dwell_time_potential, profile_click_potential, bookmark_potential, clarity, sales_relevance, annoy_risk, hook_strength, contrarian_edge. Combined into a single composite score.

Layer 3

Hard-block gate

Concrete reasons to reject: emoji, em-dash, AI-tell phrases (25 phrases including "in today's fast-paced", "harness the power"), engagement bait ("RT if you agree"), more than 1 hashtag, over 280 chars, link-only posts.

Layer 4

View-growth curve (Phase 1)

Gompertz-shaped impression trajectory with 80% confidence intervals at t+5min · 30min · 1h · 6h · 24h. Surfaces velocity score (views in first 30min / ceiling) — the single number that predicts whether the algorithm will keep pushing the tweet.

The honest part

We launched today. No fake testimonials.

You won't find a logo wall on this site. The simulator works — that's verifiable in 30 seconds in the demo above. The engine is open source and runs publicly on every score call. As we collect real customer data, this section will fill in with attributable, real-name case studies.

In the meantime: read the methodology, run examples through the live API, fork the engine. The product is its own proof.

What we can show today
  • ·130 passing tests across the engine, gate, and live API
  • ·Open-source engine — twitter_scoring v0.3.0, MIT license
  • ·Founder dogfood — Isaiah scores his own posts before publishing
  • ·Live calibration scorecard — coming as soon as enough metrics accumulate

Pricing

Free tier covers casual use. Paid tiers unlock the persona system, calibration history, and the full audience panel.

Free

Try it on every draft
$0
  • ·20 scores / month
  • ·5 generations / month
  • ·Cold-start view curve
  • ·No persistence

Builder

Indie + side project
$15/mo
  • ·500 scores / month
  • ·100 generations / month
  • ·30-day history
  • ·Bring-your-own-persona

Pro

Daily-publishing operator
$39/mo
  • ·Unlimited scores
  • ·Audience panel (6 archetypes)
  • ·Calibration scorecard
  • ·Trained view-curve model
  • ·Persona ingest from X / GitHub / Medium

Free tier is live. Paid tiers ship in v1 — see the roadmap post.

Score a draft now

No signup, no credit card. Paste a tweet, see the breakdown.

Score a tweet →