Score the title and body with fixed, testable rules.
Reddit post performance predictor
Reddit Post Performance Predictorcheck the draft, not a fictional future
Review the parts of a Reddit post you can still change before publishing: title fit, body clarity, promotional pressure, and available public subreddit rules. v0 returns a transparent readiness estimate, not predicted upvotes, comments, reach, virality, or moderator decisions.
Deterministic formulaPublic-rule contextNo content storageNo fake engagement forecast
4 signalsTitle, body, promotion, and context
0 forecastsNo invented votes or comments
LowConfidence is capped in v0
Free pre-publish readiness estimate
Find visible posting friction while the draft can still be edited.
Choose a target subreddit, add the title and body, and optionally provide a flair. The checker applies one fixed formula and attempts to read public community rules. It explains every signal and keeps the boundary clear: readiness is not performance prediction.
What happens next01 02 03
Check, read the evidence, then make the final call yourself.
Inspect URLs, calls to action, commercial wording, and available public subreddit rules.
Review the readiness band, risk signals, and prediction boundary before editing.
Pre-publish signals
A useful check focuses on controllable friction.
The result separates draft structure from promotional pressure and public community context. It does not convert those signals into a promise about votes, comments, reach, ranking, or moderation.
Fit before clickbait
Length, recognizable URLs, uppercase pressure, and repeated punctuation are checked with explicit deductions.
Clarity before polish
Paragraphs, lists, walls of text, thin context, and excessive links affect a visible body-clarity score.
Safety before conversion
CTA language, launch wording, external links, tracking parameters, and public anti-promotion rules reduce promotion safety.
Workflow
Treat the estimate as an editing checklist, not an oracle.
Run the draft, inspect why each dimension moved, revise one important problem, and check again. A lower-friction band only means fewer visible issues were detected in the submitted text and public context.
Use the real target
Community norms differ, so enter the subreddit you actually plan to approach rather than a generic placeholder.
Submit the real draft
The API does not store title, body, flair, URLs, matched signals, or the final readiness result.
Verify on Reddit
Open current rules, pinned threads, flair choices, and recent accepted posts before publishing.
Reddit-safe guide
The word predictor describes search intent, not a claim of certainty.
Reddit outcomes depend on timing, audience fit, account history, early conversation, moderation, vote fuzzing, and events a pre-publish draft checker cannot observe. v0 therefore labels its output as a low-confidence readiness heuristic.
30 / 25 / 35 / 10
Title fit, body clarity, promotion safety, and context completeness use fixed weights and 40/70 band boundaries.
Drafts are not cached
Only public subreddit rules may use the shared 24-hour cache; user content and results are not written to Redis.
Performance remains unknown
No expected votes, comments, impressions, percentile, probability, or moderation outcome appears in the response.
Why RedditMaster
Move from one-off checking into a repeatable Reddit workflow.
A free SEO tool should answer the immediate question, but the deeper value is what happens next: choose the right community, understand the account constraint, draft in the community's format, and keep improving from actual Reddit feedback.
CompareTraditional toolsRedditMaster
Output
Invent an engagement score with unexplained confidence.
Return a readiness band tied to visible, editable signals.
Evidence
Hide the formula behind an AI prediction label.
Publish weights, deductions, formula version, matched signals, and limitations.
Data
Imply access to private AutoMod or historical outcomes.
Use the draft and public rules only, with partial status when context is unavailable.
Use cases
Who should run this check before posting.
These previews are built for marketers, founders, agencies, and operators who need Reddit-specific context before they spend account trust in public.
Reduce launch-post pressure
Identify when a product link, CTA, and first-person launch wording overwhelm the practical lesson.
Review a campaign draft
Check whether the post reads like a community contribution before handing it to an account owner.
Improve scanability
Find thin context, long paragraphs, weak structure, and title formatting problems before submission.
Method and editing guide
What a Reddit Post Performance Predictor can honestly do before data calibration.
People search for a Reddit post predictor because publishing feels uncertain. A trustworthy first version should reduce avoidable uncertainty without converting a simple text check into an unsupported promise about future engagement.
Why a draft cannot reveal its future score
A Reddit post does not enter a neutral distribution where title length and word count mechanically determine votes. It enters one community at one moment. The outcome depends on who is online, what else is being discussed, whether regular members recognize the author, how quickly the first comments arrive, whether a moderator interprets the post as useful, and whether an external event changes attention. A draft can reveal obvious friction, but it cannot observe the future audience that will encounter it. Any tool that turns the text alone into an exact vote estimate is supplying confidence that the input does not contain.
Public score is also an imperfect label. Reddit applies vote fuzzing, removes and filters content, changes ranking exposure over time, and does not expose a clean impression count for every public post. Two posts with the same visible score may have reached different numbers of readers. A deleted post can disappear from a later sample, and a post approved after moderation may have lost its strongest discovery window. Training a real performance model requires careful observation ages, cohort definitions, and outcome boundaries. v0 has none of those assets and says so directly.
The practical alternative is a pre-publish readiness estimate. It asks whether the title is usable, the body gives readers enough structure, promotional signals are proportionate, and public subreddit context was available. Those are not substitutes for engagement. They are editing surfaces the author can control. The page keeps the popular predictor wording for search discovery while the product result says readiness, confidence remains low, sample size remains zero, and predictionAvailable remains false in every successful or partial response.
The fixed 30 / 25 / 35 / 10 readiness formula
Title fit contributes thirty percent. A valid title starts at one hundred, then receives explicit deductions for being too short, unusually long, mostly uppercase, overloaded with repeated punctuation, or containing a recognizable URL. An empty title or one beyond Reddit's three-hundred-character limit receives zero. URL recognition is intentionally narrow: explicit HTTP, HTTPS, or www addresses and plausible bare domains count, while ordinary product names and words containing a dot-like pattern must not be punished. The rules are centralized and covered by positive and negative tests.
Body clarity contributes twenty-five percent. It starts at sixty because length alone does not prove quality. Very short drafts lose points, two or more readable paragraphs add points, and a list, numbered sequence, quote, or code block adds a structure signal. A paragraph longer than eight hundred characters and more than three links create deductions. This score does not grade prose, truth, originality, expertise, or tone. It identifies layout and context conditions that commonly make a Reddit post harder to scan or easier to mistake for a link drop.
Promotion safety contributes thirty-five percent because obvious commercial pressure is a major controllable source of posting friction. It uses the shared promotion module so URL parsing, CTA phrases, launch language, tracking parameters, referral keys, and public anti-promotion rules do not drift between tools. Context completeness contributes the final ten percent: forty baseline points, forty when public rules are available, and twenty when flair is provided. The weighted sum is rounded and clamped. Zero through thirty-nine is higher friction, forty through sixty-nine is mixed, and seventy through one hundred is lower friction.
How to interpret the four dimensions
Title fit is not a click-through prediction. A short question can work in one community, and a long descriptive title can work in another. The score simply highlights mechanical pressure that can be reviewed before posting. If a title contains a product URL, move the useful idea into the title and decide whether the destination belongs in the body at all. If uppercase letters and repeated punctuation create urgency, rewrite the sentence in the same voice you would use when asking a knowledgeable peer for attention.
Body clarity is not a recommendation to inflate every post. Some communities reward a concise question with a reproducible example; others expect a detailed method and evidence. Use the dimension to locate thin context and walls of text, then compare the draft with accepted posts in the target subreddit. Paragraphs and lists help readers navigate only when the sections contain substance. Formatting cannot rescue a weak claim, copied content, hidden affiliation, or a question the author could answer by reading the community wiki.
Promotion safety should be read with the matched risk signals. One external source can support a technical answer, while a pricing link combined with `sign up`, `book a demo`, tracking parameters, and `we launched our app` creates a very different pattern. The checker does not ban commercial language automatically; it exposes the concentration of signals. Context completeness tells you whether public rules and flair were part of the check. A high context score still cannot see private AutoMod, moderator notes, account-specific restrictions, or a rule changed moments after caching.
Worked examples: helpful draft, hard promotion, and thin context
Consider a case-study draft titled `What I learned from 30 failed onboarding interviews`. The body explains the method, gives three findings in a numbered list, separates the conclusion into paragraphs, asks a specific discussion question, and contains no external link. With a relevant flair and public rules available, title fit and context completeness can remain high, body clarity benefits from structure, and promotion safety avoids CTA deductions. The resulting lower-friction band means only that the visible draft has fewer obvious problems. It does not say the interviews are credible or the subreddit wants another onboarding post.
Now consider `BUY NOW!!! https://example.com/pricing` with one sentence saying the team launched an app, asking readers to sign up and book a demo through a URL carrying UTM and referral parameters. The title URL, uppercase ratio, repeated punctuation, launch wording, CTA phrases, commercial path, tracking query, and thin surrounding context all create explainable risk signals. Promotion safety falls sharply and the weighted result should enter higher friction. That difference is a required one-to-one backend test, not a marketing screenshot assembled independently of the API.
A third draft may have a calm title and no links but only forty characters of body text. It can avoid promotional risk while receiving weak body clarity. The result may be mixed rather than dangerous, which is useful: the problem is missing context, not advertising. If subreddit rules cannot be read, availability becomes partial, rulesAvailable is false, and context completeness is capped. The tool does not insert default rules or claim that silence means permission. The author should open Reddit and complete the check manually.
Privacy, caching, and API cost boundaries
Draft text can contain unpublished strategy, customer details, internal links, or personal information. Predictor v0 therefore does not write title, body, flair, readiness result, matched signals, or complete URLs to Redis, a database, or application logs. Operational logs may record response status, latency, whether public rules came from cache, broad character-count buckets, and signal counts. They must not record the original prose. There is no LLM request, so the workflow has no prompt retention and no model-generated rewrite to audit.
Public subreddit rules are different: they are shared community information and may be cached for twenty-four hours. Predictor reuses the same cache as the AutoMod Simulator instead of creating a second rules collector. A cache miss performs at most one rules and metadata read; it does not sample hot, top, or new posts. When Reddit or the rules endpoint is unavailable, local draft analysis can continue as a partial result. The interface must show that community context was missing instead of presenting the score as fully subreddit-aware.
Anonymous visitors receive ten Predictor runs per day through the existing IP-based product limiter, while signed-in users are not restricted by that anonymous daily quota. A rules-cache hit still consumes one tool run because the product experience is the scarce free allowance, even though the external API cost is low. This differs from Growth Tracker, where the daily quota specifically protects uncached subreddit fetches. Keeping those semantics explicit prevents future maintainers from merging unrelated counters and helps support explain why repeated checks behave differently across tools.
A responsible editing workflow and the path to v1
Start with the real subreddit and a near-final draft. Run the check once, then read the individual dimensions before looking at the band. Fix the highest-impact issue rather than chasing one hundred. Removing a tracking-heavy pricing URL may matter more than adding another Markdown list. Replacing `check out our launch` with a concrete lesson can reduce promotional pressure, but only when the post genuinely contains that lesson. The tool should improve honesty and clarity, not teach authors to disguise an advertisement from moderators.
After editing, run the tool again and compare the signals. Then open the subreddit. Read current rules, pinned posts, recurring threads, recent accepted submissions, and moderator guidance. Confirm that the chosen flair exists. Consider the account's recent participation and disclose relevant affiliation. If the community has a weekly showcase thread, use it. If the product cannot contribute without a hard call to action, choose a different channel. A lower-friction result never overrides the people who maintain the community or the readers deciding whether to engage.
A calibrated v1 should begin only after six to eight weeks of SEO and product evidence cross a reviewed investment threshold. It would require de-identified observations, fixed six-, twenty-four-, and forty-eight-hour labels, comparable subreddit and content cohorts, time-based train and holdout splits, calibration metrics such as Brier score and expected calibration error, drift monitoring, and published ranges. Even then, exact upvote promises would remain inappropriate. Until that infrastructure and evaluation exist, the deterministic v0 is the product: useful for editing, cheap to operate, transparent about uncertainty, and incapable of silently becoming a fake prediction model.
Next step
Move from one draft check to a context-aware Reddit workflow.
RedditMaster connects subreddit research, public rules, account readiness, drafting, and human-reviewed participation without pretending that one score guarantees an outcome.
Community researchPromotion-risk reviewAccount-safe execution
Can this Reddit post predictor tell me how many upvotes I will get?
No. v0 does not predict votes, comments, reach, virality, ranking, or a percentile. It checks controllable pre-publish signals and explicitly returns predictionAvailable false.
What does the readiness index measure?
It combines title fit at 30 percent, body clarity at 25 percent, promotion safety at 35 percent, and context completeness at 10 percent. The index measures visible draft friction, not expected performance.
Does the checker read private AutoMod rules?
No. Reddit does not expose private AutoMod configuration. The tool can attempt to read public subreddit rules and descriptions; when those are unavailable it returns a partial draft-only estimate.
Does RedditMaster save my draft?
The Predictor v0 contract forbids caching or persisting the title, body, flair, result, and full URLs. Only public subreddit rules may be cached for 24 hours.
Why is confidence always low?
A deterministic draft heuristic has no calibrated historical outcome model. Even when public rules are available, many decisive factors remain unknown, so v0 cannot honestly claim medium or high predictive confidence.
What should I do after a lower-friction result?
Open the subreddit, confirm current rules and flair options, read recent accepted posts, and make a human decision. Lower friction is not approval from moderators or evidence that readers will respond well.
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