Independent software studio - Est. 2025

Focused software for useful decisions.

ScendLabs builds practical web and mobile products for real everyday use cases, starting with ListenKit and SpotNow.

Our apps

Products built around practical decisions.

ScendLabs builds focused software for moments where better information changes what people do next, from planning a trip to understanding years of personal data.

Mobile product

Real-time trust for parks, beaches, trails, and public places.

SpotNow gives people current, practical context before they visit outdoor locations, helping them avoid wasted trips caused by outdated reviews, incomplete listings, or missing condition reports.

Built as a full-stack mobile product, it combines Flutter, ASP.NET Core, PostgreSQL, REST APIs, Swagger/OpenAPI, Docker, Azure testing, and automation workflows for moderation and operations.

Flutter mobile appASP.NET Core APIPostgreSQL

Real-time place conditions

Recent community updates help people check crowds, bugs, cleanliness, smell, water quality, and general conditions before they leave.

Crowdsourced status posts

Visitors can contribute quick reports from the field, turning static location pages into current, practical information.

Map-based discovery

SpotNow helps users browse outdoor places nearby and understand where public spots are clustered around them.

Saved spots and planning

Saved locations, weather context, notes, and recent activity make repeat trips easier to plan with confidence.

Web analytics product

ListenKit turns your listening history into detailed music insights.

Import streaming history and explore artists, tracks, habits, routines, discovery patterns, and long-term shifts in taste. No yearly recap required.

Built as a static Next.js web app, ListenKit processes Spotify Extended Streaming History directly in the browser. Spotify is currently supported, with additional music services planned.

Next.js web appBrowser-side processingSpotify data import
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ListenKit Spotify import workspace with upload and listening rules controls

Complete-history analytics

Explore top artists, tracks, albums, listening time, yearly activity, and other statistics across the imported history.

Flexible filtering

Set custom date ranges and control how short plays, skips, podcasts, duplicates, and incomplete records are handled.

Optional deep dives

Calculate additional reports for listening rhythms, sessions, records, discovery, loyalty, artist journeys, and comparisons.

Clean data export

Download filtered listening history as reusable CSV data for archival use or compatible external tools.