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Weekly risers · 2026-W46

3 measured changes across distinct public sources, from the frozen weekly editions through 9 November 2026. Each is a reason to investigate, not proof of adoption or one shared trend.

Data through
9 November 2026
Source categories
3

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This is a selection of qualifying observations, not a top-five ranking across unlike metrics. Each card links to its frozen RiseFinder comparison and the original platform page. The dates are the observed readings, not a claim about when growth began or what caused it.

The week label identifies when the edition was created. Each comparison spans 5–10 days of observed history, not necessarily a completed Monday–Sunday week.

  1. 01 / App chart position

    AutoSnore: Snoring Recorder

    AutoSnore is an iPhone app that automatically records snoring and other sleep sounds overnight. Users start the app next to their bed before sleeping, and in the morning it shows a visual breakdown of each episode's frequency, intensity, and duration, plus a combined Snurk Score for the night. It uses machine learning to classify sounds such as snoring, sleep talking, yawning, and coughing, syncs snore data with the AutoSleep app, and keeps all recordings on the device. The app is a one-time purchase with no subscriptions and is not a medical device.

    Change in the recorded metric

    Climbed 12 positions, from 21 to 9

    Observed 2026-11-02 → 2026-11-09 UTC.

    Limit: This is the best position across our tracked App Store charts, not necessarily the same country or chart at both readings. It does not show installs, active users or retention.

  2. 02 / Package downloads

    @andersmyrmel/vard

    @andersmyrmel/vard is a TypeScript library for prompt injection detection in LLM applications. It uses a Zod-inspired chainable API: you define security requirements and validate user input, receiving strongly typed, sanitized data for use in LLM prompts. Detection is pattern-based and covers categories such as system prompt leaks, encoding attacks, and obfuscation. It offers presets (strict, moderate, lenient) with configurable thresholds, and threat actions including block, sanitize, warn, and allow.

    Change in the recorded metric

    Rose from 65,195 to 128,616 weekly downloads (+63,421, 97.3%)

    Observed 2026-10-31 → 2026-11-09 UTC.

    Limit: These are rolling seven-day download totals at two observation dates, not extra downloads counted between the dates. CI and other automation can contribute; these are not unique users.

  3. 03 / Model downloads

    LiquidAI/LFM3-Omni-2B

    LiquidAI/LFM3-Omni-2B is an AI model that handles multiple kinds of input and output in a single system. It understands text, images, video and audio, and responds in text or speech. It is built for on-device use, replacing what would otherwise require a separate ASR model, vision-language model, LLM and TTS model.

    Change in the recorded metric

    Rose from 8,376 to 16,547 downloads (+8,171, 97.6%)

    Observed 2026-11-02 → 2026-11-09 UTC.

    Limit: These are the Hub's rolling download counts at two observation dates, not lifetime totals or extra downloads counted between the dates. Requests can include automation; the counts do not establish deployment or adoption.

How to use this report

Investigate before interpreting

These are different measurements of attention or marketplace activity. They cannot be added into one score, and a larger percentage is not necessarily a stronger business signal. Open the original source, check whether the change persists, and look for independent evidence of use before drawing a conclusion.

We consider five source categories that RiseFinder already watches. Each needs a meaningful baseline and both an absolute and relative increase. After excluding entities in the last two published reports, we choose the largest qualifying relative change within each category; ties use the absolute change, then the entity key. A report appears only when at least three distinct categories qualify. This is an editorial selection, not exhaustive coverage of those platforms.

Read the measurement method →

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