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Gemini Executive Synthesis

Video search result display, relevance scoring, timestamp accuracy in SDK examples.

Technical Positioning
Demonstrating core product value, accurate search result interpretation, developer trust in SDK examples.
SaaS Insight & Market Implications
This bug in the V-Modal Flutter SDK example directly undermines the product's core value proposition: "Search anything anywhere." Displaying a static `0000000000000` timestamp and an invariant `66.7%` score across diverse queries renders the video search functionality opaque and untrustworthy. While raw API scores vary, the UI's failure to reflect this variability prevents developers from understanding search relevance or identifying specific video moments. This significantly degrades the developer evaluation experience, making it impossible to assess the SDK's utility for "secure, production-ready video search integration." For a B2B AI search SDK, the example application is a primary sales tool; its malfunction directly impacts perceived product quality and adoption. This issue suggests a critical disconnect between backend capabilities and frontend presentation, hindering market penetration.
Proprietary Technical Taxonomy
Flutter example ts_unix video timestamp score_ui confidence percentage video_10frames.mp4 image index raw API response

Raw Developer Origin & Technical Request

Source Icon GitHub Issue Jul 18, 2026
Repo: v-modal/vmodal_sdk_flutter
[Bug] Example displays placeholder timestamp and invariant score for video search results

## Summary

The Flutter example labels `ts_unix` as a video `timestamp` and formats `score_ui` as a confidence percentage. With the bundled `video_10frames.mp4` sample, the timestamp is always `0000000000000` and the displayed score remains `66.7%` across materially different text queries.

This makes it difficult for an SDK consumer to understand which video moment matched and how strongly it matched.

## Environment

- Repository commit: `690bd0a88f92a7a9cc3e99f0294e1a1bc69d836e`
- Android emulator: `sdk gphone64 arm64`
- Example collection: `flutter_example`
- Example stream: `astream`
- Search source: `image`
- Bundled asset: `example/asset/video_10frames.mp4`

## Steps to reproduce

1. Run the Flutter example and configure a valid runtime API key.
2. Upload the bundled 10-frame sample.
3. Create its image index and wait for `success`.
4. Search for `red`.
5. Repeat with `blue` and `purple elephant`.
6. Compare the result card and the raw API response.

## Actual behavior

The example displays the first result as:

```text
video_10frames
IMAGE • timestamp 0000000000000 • score 66.7%
```

Read-only API checks returned one result for each query:

| Query | `ts_unix` | `score_ui` | raw `score` |
|---|---:|---:|---:|
| `red` | `0000000000000` | `0.6666666666666666` | `0.8700332045555115` |
| `blue` | `0000000000000` | `0.6666666666666666` | `0.7924171686172485` |
| `purple elephant` | `0000000000000` | `0.6666666666666666` | `0.8527452349662781` |

The underlying raw `score` ...

Developer Debate & Comments

No active discussions extracted for this entry yet.

Adjacent Repository Pain Points

Other highly discussed features and pain points extracted from v-modal/vmodal_sdk_flutter.

Extracted Positioning
Resource management, client lifecycle, transport handling in `VmodalClient`.
SDK robustness, memory efficiency, proper resource cleanup, production-grade client design.
Extracted Positioning
CI/CD implementation for the Flutter SDK.
Automated testing, continuous integration, continuous delivery, release automation, code quality.
Extracted Positioning
Comprehensive developer documentation, SDK feature clarity, secure API key management, data flow explanation.
Developer experience, ease of integration, production readiness, security best practices, clear product value proposition.

Frequently Asked Questions

Market intelligence mapped to Video search result display, relevance scoring, timestamp accuracy in SDK examples..

How is Video search result display, relevance scoring, timestamp accuracy in SDK examples. positioned in the market?
Based on our AI analysis of the original developer request, its primary technical positioning is: Demonstrating core product value, accurate search result interpretation, developer trust in SDK examples.
What architecture is tied to Video search result display, relevance scoring, timestamp accuracy in SDK examples.?
Our proprietary extraction maps Video search result display, relevance scoring, timestamp accuracy in SDK examples. to adjacent architectural concepts including Flutter example, ts_unix, video timestamp, score_ui.
Are there startups building around Video search result display, relevance scoring, timestamp accuracy in SDK examples.?
Yes, market intelligence reveals commercial overlap. A product named 'Effects SDK' focuses directly on this: AI video & audio effects SDK for real-time apps

Engagement Signals

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Issue Status

Cross-Market Term Frequency

Quantifies the cross-market adoption of foundational terms like Flutter example and ts_unix by tracking occurrence frequency across active SaaS architectures and enterprise developer debates.