OpenAI 2026 hackathon

Split - Dual Browser

A dual-browser app that lets users view two web pages at once, switch between four saved tabs, take notes, adjust the split view, and customize themes for study, work, research, or entertainment.

Solo project by aishahamidm-droid Mohamed · 0 likes · 0 comments

Archive position — measured, not model output

0 likes on Devpost

2,264 of the 7,856 archived projects have more likes, and 5,592 share exactly 0 — so this project's #6,910 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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1k
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05,592
11,758
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Likes on Devpost. ▲ marks this project's group.

Show the figures
LikesProjectsShare of archive
05,59271.2%
11,75822.4%
22853.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,856 archived projects, captured when this archive was built.

Executive Summary

The description states that Split - Dual Browser is an Android app designed to let users view two web pages simultaneously in a single workspace, with support for saved workspaces (T1–T4), note-taking, customizable themes, and split-view adjustment. It was built as a native Android project using Kotlin and WebView components, and is available on Google Play.

The author claims the app addresses mobile multitasking challenges by enabling users to study, work, research, or entertain themselves without leaving the screen. The app supports portrait and landscape orientations with layout adjustments, and includes features like draggable dividers, quick tools, video shortcuts, and dark mode.

There is no evidence of revenue, customers, traction, or funding. The project appears to be a single-person hackathon submission with no external validation or market data. The most important open question is whether this app has any real-world adoption or usage beyond the author's own testing.

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What The Product Actually Is

The description states that Split - Dual Browser is an Android app that shows two browser views in one workspace. In portrait mode, the pages appear top and bottom; in landscape mode, they appear left and right. It includes four saved workspaces (T1–T4) that remember URLs, split size, and preferences.

Each browser pane has its own URL bar and back/forward controls. The app features a draggable divider, quick tools menu, built-in notes, video shortcuts, color palettes, and dark mode. It uses Android WebView, AndroidX AppCompat, AndroidX WebKit, and Gradle for development.

The app is described as being available on Google Play and having a project website with screenshots and links to the store.

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Positioning & Claim Evolution

The description states that Split was inspired by the author's personal need to multitask on mobile without switching apps or tabs. It positions itself as a solution for users who want to study, work, research, or entertain themselves while keeping two pages open simultaneously.

The app is described as helping users "study, work, research, watch and organize without constantly leaving the screen they are on." The author claims it makes multitasking feel more focused and less distracting than traditional methods.

The positioning has evolved from a personal problem-solving tool to a productivity workspace that supports multiple use cases. It is positioned as a mobile multitasking solution that improves focus over traditional tab-switching or app-switching methods.

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Target Customer & ICP

The description states that the target users are people who study, work, research, or multitask from their phones. The app aims to help users "study, work, research, watch and organize without constantly leaving the screen they are on."

The author describes the app as useful for tasks like watching a lesson while taking notes, checking one website while using another, or keeping a reference page open while working. It is positioned for individuals who need to manage multiple web-based activities simultaneously on mobile devices.

There is no evidence of specific customer segments, personas, or market research beyond the author's own stated needs and use cases.

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Business Model & Pricing Evidence

The description states that Split is available on Google Play, but there is no information about pricing, monetization strategy, or business model. The app is described as a native Android project with no mention of paid features, subscriptions, or in-app purchases.

There is no evidence of revenue streams, pricing tiers, or commercial arrangements beyond the app's availability on a public marketplace.

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Technical & Delivery Signals

The description states that Split was built as a native Android project using Kotlin, Android WebView, AndroidX AppCompat, AndroidX WebKit, and Gradle. The main app experience is handled in DualBrowserActivity, which manages two WebViews, tab workspaces, saved preferences, browser controls, layout changes, notes, quick tools, and theme palettes.

The app uses separate portrait and landscape layouts to support natural split views. Local preferences are used to remember current tab, saved URLs, split ratios, notes, palette choice, dark mode setting, and quick tool position.

The author mentions challenges with mobile WebView behavior, including handling links that open external apps, video pages, scrolling behavior, and keeping navigation inside the app when possible.

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Traction & Maturity Signals

The description states that Split is a "real working Android app" already available on Google Play. It also mentions that it has a working website with screenshots and links to Google Play.

There is no evidence of user metrics, download numbers, customer feedback, or usage data beyond the author's own claims about its availability and functionality. The project appears to be a single-person hackathon submission with no external validation or traction indicators.

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Competitive Context

The description does not provide any information about competitors or competitive landscape. There is no evidence of existing solutions in the market that address similar needs for dual-browser functionality on mobile devices.

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Key Risks & Red Flags

The description states that Split was built by a single developer (aishahamidm-droid Mohamed) and is based on a hackathon submission. This raises concerns about long-term maintenance, scalability, and support.

There is no evidence of funding, team expansion plans, or commercial traction beyond the app's availability on Google Play. The lack of revenue data, customer base, or market validation represents a significant risk for any potential investment or partnership.

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Diligence Questions To Ask The Founders

  1. What specific user problems does Split solve that existing solutions don't?
  2. How many users are currently using the app, and what is their feedback?
  3. What is the monetization strategy beyond Google Play distribution?
  4. Are there any plans for team expansion or additional development resources?
  5. What are the technical limitations of the WebView-based approach that might impact long-term performance?
  6. How does Split handle cross-site security issues in a dual-browser environment?
  7. What is the roadmap for feature development and user experience improvements?

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Investment/Partnership Verdict

The description states that Split - Dual Browser is an Android app built by a single developer as part of a hackathon submission. It is available on Google Play but lacks any evidence of revenue, customers, traction, or funding.

There is no indication of commercial viability, market demand, or competitive positioning beyond the author's own claims. The project appears to be a proof-of-concept rather than a developed business with demonstrated traction or scalability potential.

The lack of any measurable metrics, user data, or commercial indicators makes it difficult to assess whether this represents a viable investment or partnership opportunity at this stage.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on DevPost.

The analysis above was generated by a language model from the project's own one-line description. It is not independent research and contains no verified traction, revenue or customer data.