GelApp is a specialized medical utility for analyzing agarose and PAGE gel electrophoresis bands on iOS devices.
Product velocity
Dormant
Daily rank 🇺🇸
—
Medical
Sentiment
4.0
4 reviews
Nemesis
AI Lab
The App DNA
What makes this app unique?
Researchers hire this tool to replace manual graph paper plotting with automated band detection, reducing human error in publication-ready data quantification.
For Science students and laboratory researchers requiring automated analysis of agarose and PAGE gel images.
What does it look like?
Key features
Uses Gabor filters to identify and calculate band sizes from uploaded images.
Automatically plots marker data into a log graph for analysis.
Direct file access to Dropbox for image loading and analysis.
How much does it cost?
The app is distributed as a free tool to support academic research and publication accuracy.
Velocity
Dormant developmentopaqueShow more...
The app has been inactive for over a decade, with the last recorded update occurring in January 2016. There is no evidence of ongoing development, feature releases, or maintenance. The project is considered abandoned based on the lack of activity for well over the 12-month threshold.
Who built it?
Samuel Gan
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What do users think recently?
Fresh user feedback skews mixed. Users appreciate convenience of on-the-go analysis.
How are ratings & reviews evolving?
What users say, by theme
- Convenience of on-the-go analysis
- Difficulty with non-scanner images
Competition
Competitive landscape for GelApp
How's the Medical market?
GelApp occupies a niche medical utility space, maintaining a 4.0 rating across 4 reviews without updates since 2016. The lack of recent development relative to active competitors signals a transition into legacy utility status.
Read the market outlookThe rivals identified
By Swift Management AG
AI Lab competes by offering advanced on-device image processing capabilities that overlap with GelApp's core mission of automated band detection and analysis.
- Provides a downloadable model library, allowing users to customize detection logic for specific gel types.
- Features native social sharing capabilities, facilitating easier collaboration and data dissemination among research peers.
- Leverages on-device image classification, which offers faster processing speeds compared to manual image analysis workflows.
Unlock the head-to-head verdict: where this rival wins, and where it loses.
Access the full report for freeThe Analyst's Read
Key takeaways for GelApp
Where is it heading?
The laboratory utility market is shifting toward AI-integrated workflows that offer higher accuracy and faster processing. GelApp's static feature set leaves it exposed to more agile competitors, so the PM must decide whether to sunset the project or invest in a modern detection engine.
- The complete lack of updates since 2016 signals that the app is in maintenance mode, which will lead to gradual user attrition.
The SWOT
- Automated Gabor-filter detection reduces human error
- Self-contained architecture enables offline analysis
- Cloud-based model training for detection accuracy
- Automated report generation for publications
Next best moves
Audit manual correction workflow because mobile-photo detection is the top complaint → improve user retention
The counter-intuitive read
The app's lack of updates is a strategic asset for academic trust…
Read the full takeFeature gaps
Downloadable model library (available in AI Lab) +1
Since the last report: The app remains in a zombie state with no development updates, while increased user feedback highlights specific usability friction with non-scanner image processing.
Bottom line
GelApp provides essential scientific utility through automated band detection, but its lack of updates since 2016 leaves it vulnerable to AI-driven competitors, so the PM should prioritize a UI refresh to defend the existing user base.
Unlock 2 critical frictions, 2 market threats and the analyst’s take.
Access the full report for freeReport last updated