One Reddit Pipeline cluster pointed straight at the first product.
It pulled the same complaint across different threads fast. That gave us a tight first product and got us to $3.2k MRR.

Ryden Sun
Elisi
An AI-powered research platform that analyzes millions of user complaints across multiple platforms to show you exactly what products people actually want.
Loved By Founders
See what our customers think. Founders turned real complaints into validated products and their first paying customers.
It pulled the same complaint across different threads fast. That gave us a tight first product and got us to $3.2k MRR.

Ryden Sun
Elisi
We stopped guessing and built around the request that kept repeating in reviews.

Amit Arora
The Action Tracker - Life Planner
Once the same friction points stacked up in reviews, the better product angle was obvious. That turned into five figures in lifetime revenue in the first few months.

Om Patel
Linkeddit
Instead of reading random reviews one by one, we could see the same complaint repeating. That made the roadmap much easier to commit to and helped us win the first paid teams faster.

Georgi Marinov
AI VisionBoard
Seeing funded companies around the problem gave us confidence to build a tighter version of it and close the first few customers sooner.

Matthieu Vaxelaire
Mention
That was enough proof for us. We turned the service into a product and cleared five figures in total sales much faster than expected.

Antonio Gonzalez
Reaction Free
It pulled the same complaint across different threads fast. That gave us a tight first product and got us to $3.2k MRR.

Ryden Sun
Elisi
We stopped guessing and built around the request that kept repeating in reviews.

Amit Arora
The Action Tracker - Life Planner
Once the same friction points stacked up in reviews, the better product angle was obvious. That turned into five figures in lifetime revenue in the first few months.

Om Patel
Linkeddit
Instead of reading random reviews one by one, we could see the same complaint repeating. That made the roadmap much easier to commit to and helped us win the first paid teams faster.

Georgi Marinov
AI VisionBoard
Seeing funded companies around the problem gave us confidence to build a tighter version of it and close the first few customers sooner.

Matthieu Vaxelaire
Mention
That was enough proof for us. We turned the service into a product and cleared five figures in total sales much faster than expected.

Antonio Gonzalez
Reaction Free
When the same problem kept showing up from different users, the opportunity became much easier to trust.

Matthew Podolak
Lingocat
The reviews were blunt about what felt broken. That made the next product decision straightforward.

Kyrylo Silin
Telebugs
The same complaints showed up across multiple tools, so we leaned into a simpler product shape and landed our first paid pilot quickly.

Benjamin Sloutsky
ClothingAI
Once the same complaints lined up across competitors, it was obvious which smaller niche to go after. That got us to revenue faster instead of rebuilding the pitch every week.

YC J
Fleak
We exported the signals we cared about and used them in our own process right away. That helped us tighten the product and push toward our first enterprise deal.

Milton Ren
Focumon
When the same problem kept showing up from different users, the opportunity became much easier to trust.

Matthew Podolak
Lingocat
The reviews were blunt about what felt broken. That made the next product decision straightforward.

Kyrylo Silin
Telebugs
The same complaints showed up across multiple tools, so we leaned into a simpler product shape and landed our first paid pilot quickly.

Benjamin Sloutsky
ClothingAI
Once the same complaints lined up across competitors, it was obvious which smaller niche to go after. That got us to revenue faster instead of rebuilding the pitch every week.

YC J
Fleak
We exported the signals we cared about and used them in our own process right away. That helped us tighten the product and push toward our first enterprise deal.

Milton Ren
Focumon
Everything You Need to Build Better Products
Analyze mobile app reviews and discover user pain points across thousands of applications.
Discover market opportunities through comprehensive analysis of G2 reviews, Upwork project demands, and Capterra insights.
Access curated databases of problems, solutions, and successful product strategies.
From Data to Opportunities
We scraped 10 platforms and analyzed millions of complaints, reviews, and revenue signals to hand you validated startup opportunities.









Deep Analysis
AI-Powered Processing
“No calendar integration at all, so I still live in Outlook...”
Transform Negative Feedback Into Winning Product Ideas
Browse every category on G2, Capterra, and Upwork. AI reads the reviews and job postings, scores the gaps, and hands you validated product opportunities.
Explore 11 categories and 386 subcategories of software on G2. Search any niche and see how many companies and negative reviews sit behind it.

AI reads 850K+ negative reviews and turns every subcategory into a report: sentiment, competition, and pain points scored by gap size.

Across 1,412 negative reviews, sync failures dominate: missed emails, calendar drift between devices, and add-ons that crash on load. Pricing complaints cluster around $30/mo tiers users call overpriced for missing basics, and support tickets sit unanswered for days.
Users repeatedly describe missed emails and calendar drift across devices. 21 of 28 companies affected · Severity 4.3/5.
We analyzed 8,000+ companies across G2, with thousands of negative reviews behind a single company alone. AI insights sit one click away on every one.

Each company gets a deep dive: pain points with severity, a proposed solution, and every individual review, each with a direct link to the original on G2.

Users report a lack of calendar functionality and notification issues that hurt workflow efficiency. Bugs and weak search create delays in team collaboration.
Users cannot find emails older than a few months and export threads to PDF as a workaround.
“No calendar integration at all, so I still live in Outlook for scheduling. Switching between two apps defeats the point of a unified inbox.”
“Notifications are all or nothing. I miss client threads for hours or drown in pings. There is no per-thread muting.”
“A sync bug silently dropped incoming emails for two days and support went quiet for weeks. The whole team is back on legacy clients.”

Find problems worth solving with custom AI Agents
An AI agent actively tracks discussions on any subreddit you specify to uncover user pain points and market opportunities.
All insights are organized and stored in a structured database for easy access and analysis, with frequency and impact scores on every pain point.
Users of social media marketing find themselves increasingly frustrated with the compliance and management of multiple accounts across differing platforms, leading to inefficiencies and inconsistent brand messaging.
mediummediumThere is a notable difficulty in creating and managing internal documentation and templates across marketing teams, leading to inconsistent brand messaging.
mediummediumMany marketing professionals express confusion over the use of new technologies like GA4 for tracking workflows and data.
mediumhighContent creators and marketers struggle with the challenge of managing multiple platforms and project tasks without a centralized system.
highmediumSmall agencies and solo marketers lack effective systems for managing client relationships and project deliverables.
mediummedium“Managing 5 client accounts across every platform is a nightmare, nothing stays consistent...”
“We rewrite the same internal docs every quarter because nobody can find the templates...”
“GA4 makes zero sense to me and I've been doing analytics for six years...”
AI-powered processing detects patterns and generates insights from real user discussions.
"Honestly so frustrated with juggling five different tools just to schedule posts. I wish there was one place that handled all our accounts..."
Marketers need one unified tool to manage every social account — fragmented workflows are causing inconsistent branding.
Get actionable insights and product ideas generated from real user pain points and market gaps.
Search any keyword to discover niche markets and find the right audience for your next mobile app. Unlimited keyword possibilities.
Every keyword shows how many apps and real reviews sit behind it, so you can validate demand in seconds instead of weeks.



"It's convenient but the recipes aren't very good."
"Tried subscription to add my own recipe. But the recipe function is useless. Deleting the app."
"I plan my meals here but I still have to write my grocery list by hand."




"It's convenient but the recipes aren't very good."
"Tried subscription to add my own recipe. But the recipe function is useless. Deleting the app."
"I plan my meals here but I still have to write my grocery list by hand."

AI agents that mine app reviews for product opportunities
Create custom pipelines that scrape and analyze millions of reviews from Apple App Store and Google Play. AI identifies exactly what users hate, so you can build what they want.
Pick your keywords, select which stores to scrape, and choose which star ratings to analyze. The AI agent handles the rest.

Every pipeline run produces organized, searchable results: pain points ranked by severity, feature gaps, and actionable opportunities.

Comprehensive AI-generated reports with competitive analysis, market gaps, and product recommendations.
Built from every review on
App Store and
Google Play.

The dominant user requests are to reduce aggressive paywalling/pricing and to fix unreliable activity tracking and watch sync, with many users reporting lost or inaccurate workouts. Secondary requests include better in-app support and fixing account/login friction.
Ship a reliable sync + generous free tier before adding new features. Reliability complaints drive the majority of 1-star reviews across every competitor analyzed.
Every pain point, feature gap, and opportunity is surfaced as a structured card with severity scores.

Users point to a small set of competitors that win by reliably delivering core value: dependable food logging and barcode/database coverage (MyFitnessPal), better recipe quality + reviews and generous free access (Tasty), and simple, stable UX that people will pay for (Mealime).
Reliable food logging and a large food database / barcode scanning that users trust for daily tracking.
"I've been using my fitness pal for years."
Insight: Prioritize a robust searchable food database and dependable barcode scanning. Fixes to logging will directly address top complaints.
Higher-quality recipes with ratings and reviews, plus a generous free tier that keeps users from churning to paid rivals.
"Tasty has way better recipes and I don't have to pay."
Insight: Invest in recipe curation and community ratings before gating features behind a subscription.
From Idea to Product
BigIdeasDB validates the problem. Pick your favorite AI tool and start shipping — no more guessing what to build.
Get startedTrusted By Builders and Indie Developers
See what our community is building.

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AI-powered deep research tool for sales that provides critical information about target accounts in seconds.
Still not sure if BigIdeasDB is right for you?
Let your favorite AI do the thinking. Click a button and see what they have to say about us.
Start Building Something People Actually Want.
Skip the guesswork. Use real market data to validate your ideas and find profitable opportunities.
FAQ
BigIdeasDB combines complaint data from Reddit, app stores, G2, Capterra, Product Hunt, and Upwork with revenue and market datasets. It also includes BuildGuide for structured validation, BuildHub for product planning, and a hosted MCP server for querying research from compatible AI clients.
The product is strongest at early-stage problem discovery and market research. It does not replace customer interviews, technical due diligence, or direct validation of willingness to pay.
Time saved depends on your research scope and workflow. BigIdeasDB reduces manual collection by putting complaint, market, and revenue data in one place.
Use the data as a starting point, then verify the opportunity with potential customers before building.
We offer flexible plans to fit your needs:
Basic Plan: Access to all databases, BuildGuide AI research and planning tool, Reddit Researcher MCP Server, and product boilerplate.
Pro Plan (Lifetime or Monthly): Everything in Basic, plus BuildHub AI project management with Infinity Canvas, custom AI pipelines, automated subreddit analysis, real-time pain point detection, unlimited queries, and priority support.
Access limits and included datasets vary by plan. The pricing page shows the current plan comparison.
No refunds. All sales are final, so please make sure BigIdeasDB is right for you before purchasing. We've done our best to clearly describe what's included in each plan, and we encourage you to review the features, databases, and tools carefully.
If you're unsure whether BigIdeasDB is the right fit, we're happy to walk you through the platform live before you buy.
Book a product demo