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Content intelligence

Stop guessing what to post.

Turn your TikTok analytics into a clearer content strategy. Discover what works for your audience, identify promising opportunities, and know what to create next.

Recommendations are informed by the analytics you provide. You review every extracted number before anything is analyzed.

Opportunity reportDemo data

Where your audience responds

median 52
Side hustles72 · n=6
AI tools61 · n=19
Entrepreneurship44 · n=4
Personal finance41 · n=5
Productivity33 · n=7
AI inference

Topics are tagged from captions. The index compares each topic with this account’s own median.

Next to post · ranked for “More followers”

#1AI side hustles

“I spent a week testing AI side hustles so you don't have to.”

63
±3
Format
Experiment / story
Length
35–55 sec
Goal
Follows + Shares
  • Analytics52% of your audience is 18-24 (your audience analytics)
  • AnalyticsFollowers are most active 7 PM – 10 PM (your follower-activity analytics)
  • AI inference6 previous videos on Side hustles average a performance score of 79 (your median is 52)
High confidence
  1. #2

    “The biggest mistake I made with AI side hustles.”

    AI side hustles · Story · 35–55 sec

    53
  2. #3

    “Nobody tells you this about desk setup tours…”

    Desk setup tours · Talking head · 35–55 sec

    49

Illustrative sample data from a fictional account. Scores are estimates from the evidence available, not predictions of performance.

The insights engine

See what your data says about your next post.

Upload your TikTok analytics and Snipster shows what works for your audience. The same profile can personalise which moments it picks when you clip. Everything below is a real screen, shown with a fictional sample account.

Ranked opportunities · More followersSample data
  1. #1AI side hustles61±3
  2. #2AI agents for small business49±3
  3. #3Desk setup tours48±7
  4. #4No-code app building40±4
  5. #5Budgeting apps showdown31±3

What makes up #1 · AI side hustles

Trend momentum91
Audience fit81
Historical fit83
Followers potential89
Differentiation46

Where an input has no data it is scored at a cautious assumed value and labelled — it never silently becomes a good score.

Illustrative sample data. A score is an estimate built from the listed inputs, not a prediction of results.

The problem

You’re posting constantly. But do you know what’s actually working?

  1. 01

    Views alone don’t explain a win

    A video can get views for reasons that have nothing to do with the topic, the hook or the format. Without retention, shares and follows next to it, you can’t tell what to repeat.

  2. 02

    A viral topic isn’t your topic

    What’s popular for everyone is not automatically a fit for your audience. The useful question is what your viewers have responded to before.

  3. 03

    Generic ideas ignore your audience

    A list of AI-written ideas doesn’t know who watches you, which of your videos worked, or what you’ve already posted this month.

  4. 04

    Repeated formats, unexplained results

    It’s easy to keep making the same kind of video without knowing which part of it is doing the work.

Where Snipster fits

The bridge between your analytics and your next creative decision. It reads your own results, then tells you what they support, and why.

How it works

From your analytics to your next post, in three steps.

  1. STEP 1

    Bring your data

    Upload supported analytics files and review the extracted values before anything is analyzed.

    overview.png
    audience.png
    video-export.csv

    1 value needs your check before analysis

  2. STEP 2

    Discover your patterns

    See which topics, formats and performance patterns are supported by the data you provided, and how much data backs each one.

    Side hustles72 · n=6
    AI tools61 · n=19

    Sample account · line = median

  3. STEP 3

    Decide what to post next

    Get ranked ideas with a hook, a suggested format, an objective, and an explanation of why each one fits.

    “I spent a week testing AI side hustles so you don't have to.”

    Experiment / story · 35–55 sec · More followers

    Sample account

Features

Know your audience

Find what your audience actually responds to.

Snipster reads your own history instead of chasing vanity metrics. It compares topics, lengths and opening styles with your account’s median, and shows how many videos each pattern rests on.

  • Every pattern shows the number of videos behind it
  • Facts from your analytics are labelled separately from model inferences
  • Small samples are flagged instead of dressed up as insight
Audience & timingSample data

Age (from your audience analytics)

13-173%
18-2452%
25-3431%
35-4410%

Follower activity by hour

12a6a12p6p12a

Strongest window: 7 PM – 10 PM (time zone as shown in TikTok analytics)

  • AI inferenceSide hustles is your strongest topic. 6 videos tagged Side hustles average a performance score of 79 (your median is 52).
  • AI inferenceSide hustles drives shares. Side hustles videos have 1.6× your account-average share rate (n=6).
  • AI inferenceSide hustles drives comments. Side hustles videos have 1.4× your account-average comment rate (n=6).

Illustrative sample data from a fictional account. Scores are estimates from the evidence available, not predictions of performance.


Find your next opportunity

See why an idea ranks where it does.

Opportunities are scored from five visible inputs and weighted for your objective. You can see each factor, and what was assumed because no data was available.

  • Switch objective: followers, views, creator monetization, affiliate, product sales or sponsorships
  • Missing data lowers confidence; it never silently improves a score
  • Trend momentum is used only when a measured source exists
Opportunity scoringSample data

#1

AI side hustles

61
±3
Trend momentum91
Audience fit81
Historical fit83
Followers potential89
Differentiation46
High confidence

#3

Desk setup tours

48
±7
Trend momentum66
Audience fit58
Historical fit56
Followers potential40 · assumed
Differentiation95
High confidence

Five inputs are combined, weighted for the objective you choose. Where an input has no data, it is scored cautiously and marked assumed, so unknown topics can’t outrank proven ones.

Illustrative sample data. Scores are estimates from available evidence, not predictions of performance.


Your next 10 videos

Ideas specific enough to shoot today.

Each recommendation gives you a concept, a hook, a format, a suggested duration with the reason, an objective, a call to action, and the evidence behind it. If the data only supports fewer than ten distinct ideas, you get fewer.

  • Hooks are drafts based on your best-performing openings, not guarantees
  • Every idea lists what Snipster doesn’t know that could change it
  • Accept an idea to track what you made from it
Your next videos · More followersSample data

#1 · AI side hustles

“I spent a week testing AI side hustles so you don't have to.”

63
±3

Concept · A one-week test of AI side hustles: state the setup up front, log results daily, and report the real numbers.

Format
Experiment / story
Duration
35–55 sec
Objective
Follows + Shares
CTA
“Follow for part 2.”

Why this length · Your 30–60 sec videos average a performance score of 61 (22 videos) vs 52 overall.

  • Analytics52% of your audience is 18-24 (your audience analytics)
  • AnalyticsFollowers are most active 7 PM – 10 PM (your follower-activity analytics)
  • AI inference6 previous videos on Side hustles average a performance score of 79 (your median is 52)
  1. #2

    “The biggest mistake I made with AI side hustles.”

    AI side hustles · Story · 35–55 sec

    53
  2. #3

    “Nobody tells you this about desk setup tours…”

    Desk setup tours · Talking head · 35–55 sec

    49
  3. #4

    “The biggest mistake I made with AI agents for small business.”

    AI agents for small business · Story · 35–55 sec

    48
  4. #5

    “Nobody tells you this about AI agents for small business…”

    AI agents for small business · Talking head · 35–55 sec

    40
  5. #6

    “I figured out what actually makes no-code app building work, and it's not what you think.”

    No-code app building · Story with a reveal · 35–55 sec

    39

+ 4 more ideas in the full list

Illustrative sample data from a fictional account. Scores are estimates from the evidence available, not predictions of performance.


Learn from what happens next

Check the advice against reality.

After you post, upload fresh analytics and link the video you made. Snipster compares it with your own earlier videos, once enough time has passed to make the comparison fair.

  • Results are labelled observations, not claims of cause
  • A video can support only one recommendation
  • Patterns need several consistent results before they are mentioned
Learning loopSample data
AcceptedPostedDay 7Day 14rates compared+ views compared
Nobody tells you how easy this passive income idea isObservation

posted 2026-10-17 · measured 2026-10-25 · 8 days live

Follower conversion: 2.49× your median across 46 earlier videos

A pattern is only reported after at least five measured videos agree, and even then it is an association in your data, not proof of cause.

Illustrative, simulated follow-up for a fictional account.


Find promising moments in transcripts

Spot the moments worth clipping.

Paste or upload a transcript and Clip Finder ranks self-contained moments against your own patterns and objective. It flags moments that lean on missing context and offers hook options.

  • Timestamps appear only when your transcript includes them
  • One hook option is a verbatim line from the transcript; the others are labelled drafts
  • It analyzes words, not video — it isn’t an editor and doesn’t transcribe video yet
Clip Finder · transcript analysisSample data

Transcript with timestamps

  • [47:00]Alright, before we wrap, let me share the thing I wish someone told me about side hustles.
  • [47:08]And so that's why the second tool matters, like I said earlier.
  • [47:16]Here is the mistake that cost me $2,000: I bought three AI tools before I had a single customer.
  • [47:24]Nobody tells you that the first job is finding one person who will pay, not building the product.
  • [47:32]When I finally started with one paying customer, I realized the real reason my earlier attempts failed.
  • [47:40]It was the order I did things in, and that changed how I approach every project now.
  • [47:48]So step one is to find a problem you can describe in a sentence, step two is to ask five people, and step three is to sell before you build.
  • [47:56]Anyway, that's a topic for the next episode, and honestly the weather has been great lately.
  • [48:04]We took the dogs out and the whole team went for lunch afterwards, which was fun.
  • [48:12]My favourite part of the week is Friday because we all log off early.

Best moment

47:16–47:56

AI tools · context needed: low

83
  • Matches AI tools, where your 19 videos average a score of 62 (median 52)
  • Opens with a Mistake / regret pattern
  • That opening style is one of your better performers (5 videos, avg 58 vs median 52)

Hook options

  • A“Here is the mistake that cost me $2,000: I bought three AI tools before I had a single customer.” From transcript
  • B“A common AI tools trap, and how to spot it.” Draft
  • C“The part of AI tools most people skip over.” Draft

Illustrative sample transcript for a fictional creator. Transcript-based: the words are analyzed, not the video.

Try it

Same account. Different goal. A different plan.

Pick an objective and watch the ranking change. This uses a fixed sample, so it works without signing up.

Recommendations for “Grow followers”Illustrative
  1. #1AI side hustlesMore followers

    “I spent a week testing AI side hustles so you don't have to.”

    Concept · A one-week test of AI side hustles: state the setup up front, log results daily, and report the real numbers.

    Why it fits · Your Side hustles videos have 1.6× your average follower conversion.

    Experiment / story · 35–55 sec · aims for follows + shares · CTA “Follow for part 2.”

    63
    ±3
  2. #2AI side hustlesMore followers

    “The biggest mistake I made with AI side hustles.”

    Concept · Walk through the costliest mistake you made with AI side hustles: what happened, what it cost, and the fix.

    Why it fits · Your Side hustles videos have 1.6× your average follower conversion.

    Story · 35–55 sec · aims for follows + shares · CTA “Follow — I'm testing the next one this week.”

    53
    ±3
  3. #3Desk setup toursMore followers

    “Nobody tells you this about desk setup tours…”

    Concept · Reveal the part of desk setup tours people rarely talk about, anchored in one concrete example from your own experience.

    Why it fits · You haven’t covered this topic yet, so it’s a test rather than a proven bet, and it’s scored cautiously.

    Talking head · 35–55 sec · aims for follows + shares · CTA “Follow to see how this plays out.”

    49
    ±7
  4. #4AI agents for small businessMore followers

    “The biggest mistake I made with AI agents for small business.”

    Concept · Walk through the costliest mistake you made with AI agents for small business: what happened, what it cost, and the fix.

    Why it fits · Your AI tools videos perform about in line with your average follower conversion, so this idea rests on the other inputs.

    Story · 35–55 sec · aims for follows + shares · CTA “Follow for part 2.”

    48
    ±3

A curated sample from a fictional account — not calculated from your data, and no live trend data. Scores are estimates, not predictions. With your own analytics, Snipster ranks ideas using your history.

Trust

Credible because it tells you what it doesn’t know.

A strategy tool is only useful if you can see what it’s built on. These are how Snipster behaves today.

How your files are handled

  • Original uploads are deleted automatically after a retention period (14 days by default).
  • You can export your data and delete your account from Settings.
  • Screenshots and PDFs are read with Anthropic’s API; CSV files are read without AI.
  • We record product-usage events (such as “uploaded”), not your analytics values, captions or transcripts.
  1. 01

    You review before we analyze

    Extracted numbers are shown with their source file and a confidence level. You can correct them, and impossible values must be fixed before analysis runs.

  2. 02

    Missing isn’t made up

    If a value can’t be read, it stays blank. If an input has no data, the score uses a cautious assumed value and says so.

  3. 03

    Evidence and inference stay separate

    Facts from your analytics are labelled apart from conclusions our models draw, so you can weigh them differently.

  4. 04

    Trend data depends on its source

    Snipster currently reads public web-attention signals, not TikTok’s own trend data. Each trend shows its source, how fresh it is, and what it can’t measure. When none is available, recommendations say they rest on your analytics alone.

  5. 05

    Results are uncertain

    Scores are estimates. Nothing here promises views, virality, income or Creator Rewards payouts.