Last updated: March 2026
OppEngine aggregates and analyzes publicly available data from multiple sources to identify underserved market opportunities. Our automated research pipeline collects signals from online communities, news sources, funding databases, and technical discussion forums — then applies a proprietary scoring model to rank opportunities by viability.
All market intelligence is derived from publicly available information. We do not use scraped private data, insider information, or non-public sources.
The following sources are used to build each research report and populate the opportunity database:
We search subreddits relevant to the target market for complaint threads, pain point discussions, and product feedback. Posts are ranked by upvotes and comment engagement. Only public posts are included. Data window: last 90 days.
We collect recent news articles, press releases, and industry coverage related to the target market. This provides signal on media attention, regulatory changes, and competitor announcements. Data window: last 90 days.
Technical discussions, "Show HN" launches, and Ask HN threads related to the market. Particularly useful for identifying developer-facing opportunities and existing solution sentiment. Data window: last 180 days.
Recent funding announcements and startup investment news in the target sector. Used to assess venture interest and identify existing funded competitors. Data window: last 12 months.
TAM (Total Addressable Market) and SAM (Serviceable Addressable Market) figures are estimated using publicly available industry reports from sources such as Statista, IBISWorld, Grand View Research, and government statistics where available. These are estimates, not audited figures.
Where relevant, App Store and Google Play ratings and review sentiment are used to assess the quality of existing solutions and identify unmet user needs.
The OppEngine Score is a proprietary composite metric ranging from 0–100. It is calculated across six axes, each weighted by its impact on early-stage startup success:
How frequently and intensely is the problem expressed in public forums? Measured by complaint volume, upvote density, and emotional intensity of Reddit/community posts.
Estimated SAM for the target geography based on publicly available industry data and analyst estimates. Ranges: Small (<$500M), Medium ($500M–$5B), Large (>$5B).
Evidence of existing paid solutions, pricing discussions in forums, and current product pricing in comparable markets. Higher scores indicate proven WTP from customers.
How large is the gap between customer pain and existing solution quality? Assessed via App Store ratings, review sentiment, and geographic white spaces.
Can the business model scale beyond the initial market? Based on comparable exits, expansion potential, and SaaS vs. services economics.
Are there clear, cost-effective channels to reach early customers? Assessed by identified communities, influencer ecosystems, and regulatory-mandated markets.
* Score weights are periodically recalibrated based on model validation against real startup outcomes.
All URLs included in research reports are verified to be active at the time of report generation. OppEngine runs automated link validation checks on a regular basis to identify broken links in recent reports.
However, external URLs (Reddit posts, news articles, Hacker News threads) are hosted on third-party platforms and may become unavailable over time. OppEngine is not responsible for the continued availability of external sources.
Each report displays the generation date. Reports older than 90 days may reference outdated market conditions. We recommend verifying time-sensitive data against current sources.
OppEngine provides market intelligence and research services for informational purposes only. Nothing on this platform constitutes financial, investment, legal, tax, or business advice. All market size estimates, revenue projections, and opportunity scores are approximations based on publicly available data and proprietary analysis. They are not representations of fact or guarantees of any outcome. Past performance of comparable businesses does not guarantee future results. You should conduct your own independent research and consult qualified professionals before making any business or investment decision. OppEngine Limited is not liable for any decisions made based on information provided on this platform.
If you have questions about how we collect data, calculate scores, or verify sources, please contact us.