I just wanted to share BigIdeasDB. We analyzed real user complaints from Reddit threads, G2 reviews, Upwork jobs, and app store feedback to find validated startup opportunities. Instead of guessing what to build, you get data on problems people are actively trying to solve.
Key features:
=> Reddit Pipeline - Monitor subreddits for problems and solutions in real-time
=> G2 Analysis - Find what users hate about existing software to spot opportunities
=> Upwork Analysis - Identify repetitive tasks that can be automated into products
=> App Store Analysis - Discover improvement opportunities from negative reviews to create a superior competitor
=> BuildHub - Plan and manage your entire product in one workspace
=> BuildGuide - AI cofounder walks you through 8 validation stages
+ much more!
We've indexed problems with evidence of demand. Each comes with pain point analysis, a solution to the problem, and links to the sources + more deeper analysis.
Built for founders by founders who want to skip the guesswork and build products people actually need.
i know a lot of people post similar things here every day, but let me explain what i'm doing differently.
i'm not just building another "list of launch platforms and startup directories". my main goal is to make it way easier to find marketing channels that actually work, from niche subreddits to Discord communities to newsletter sponsorships.
in other words i'm making a comprehensive database of all kinds of places to promote your products. i've already added over 1000 verified locations including:
- startup directories with domain ratings and submission requirements
- reddit communities sorted by subscriber count and activity level
- discord and slack communities with member counts
- newsletter sponsorship opportunities with pricing info
- places where you can run ads or get featured
- specific subreddits that allow startup posts (with posting rules)
- facebook groups and linkedin communities
- telegram channels and twitter communities
what makes this different from other lists floating around:
- includes domain rating for each directory so you know which ones have SEO value
- shows estimated impact level (high/medium/low traffic)
- all of them are free to post on
- includes direct links to submission pages
- constantly updated with new findings
- a page that allows you to post YOUR startup for free easily.
the next step is adding more niche from suggestions, communities and automating some of the submission processes to save founders time.
this took me weeks to compile and verify. hoping it saves other founders the research time and helps you find channels you didn't know existed.
let me know what you think or if there are specific types of promotion channels you'd like me to add.
Hey everyone! I've been growing this application where I analyzed 50k negative app reviews from 5k+ mobile apps across 160 keywords to help uncover potential mobile app opportunities.
A few months ago, I came across this (now deleted) post about someone who worked at a hotel and noticed a flaw in the hotel's software. They ended up building a plugin to fix it... and made a nice side income from it. That got me thinking: How many other tiny or overlooked mobile app issues are lurking out there, waiting for a solution?
I wanted to help skip the guesswork so looking at negative reviews would highlight problems users would be having.
If a solution was prominent enough, these users would likely convert or at least download an alternative app to make their life easier. So what I did was I basically analyzed over 50k negative reviews across around 5000 mobile apps on the App Store and Play Store to find specific improvements that can be made on existing apps that can potentially be made into a competitor for existing mobile applications.
I used AI to analyze the negative reviews and find user problems and provide potential improvements to the existing apps as a competitor or even a better alternative.
We scraped apps from 160 keywords (e.g. period tracker, meal planner, sleep sounds, travel journal, photo enhancer, news digest, coupon finder) to find what users hate about existing mobile software, and what we did was we analyzed these negative reviews to find improvements users can do to make a mobile app competitor.
I separated by categories and by app and highlight app/software specific problems users were having as well as category specific problems.
If you're building (or improving) a mobile app, this database might save you a ton of guesswork and potentially give you the last app idea you will ever need.
A few months ago, I came across this (now deleted) post about someone who worked at a hotel and noticed a flaw in the hotel's software. They ended up building a plugin to fix it... and made a nice side income from it. That got me thinking: How many other tiny or overlooked mobile app issues are lurking out there, waiting for a solution?
I wanted to help skip the guesswork so looking at negative reviews would highlight problems users would be having. If a solution was prominent enough, these users would likely convert or at least download an alternative app to make their life easier. I basically analyzed over 50k negative reviews across around 5000 mobile apps on the App Store and Play Store to find specific improvements that can be made on existing apps that can potentially be made into a competitor for existing mobile applications.
I used AI to analyze the negative reviews and find user problems and provide potential improvements to the existing apps as a competitor or even a better alternative.
I separated by categories and by app and highlight app/software specific problems users were having as well as category specific problems.
If you're building (or improving) a mobile app, this database might save you a ton of guesswork.
We scraped apps from 160 keywords (e.g. period tracker, meal planner, sleep sounds, travel journal, photo enhancer, news digest, coupon finder) to find what users hate about existing mobile software, and what we did was we analyzed these negative reviews to find improvements users can do to make a mobile app competitor.
"Your next customers are on Reddit," someone told me (on reddit). So I built a tool to actually find them. I was spending hours manually scrolling through subreddits trying to find the right people to connect with for my SaaS: marketing advice, technical feedback, potential customers. They were all buried somewhere in endless Reddit threads, but finding qualified people was like searching for needles in haystacks.
this tool is an AI agent that finds subject matter experts on Reddit based on natural language descriptions. You simply describe what you're looking for like "I want to learn SaaS marketing from experienced founders," the AI generates relevant keywords and subreddits (which you can modify), then it scrapes Reddit posts, comments, profiles, and karma to find users matching your criteria. You get a scored list of qualified experts in 30 seconds, exportable as CSV with up to 3 pipeline executions per day.
I used my own tool to find people who could help improve my landing page. After implementing their feedback and relaunching, I got my first sale within 30 minutes. The product later hit #1 on Product Hunt and generated $5k in its first month. What used to take weeks of manual research now takes under a minute, and it works for finding customers, mentors, technical advisors, and industry experts across any domain.
Hey everyone! I've been growing this application where I analyzed 5000 job postings on Upwork (from over 500 categories) so that you can uncover potential SaaS opportunities.
I came across this (now deleted) post on Reddit about someone who worked at a hotel and noticed some flaw in the hotel’s software. They ended up building a plugin to fix it....and made a really nice side income from it. Now, that got me thinking a lot: How many other unmet software needs are hiding in plain sight, waiting for a solution to make you money?
I wanted to help skip the guesswork, and I knew that job postings on Upwork would show the specific challenges people/companies are facing. I wanted to find opportunities that people were willing to pay for, meaning that they hadn't found an existing solution to a task they wanted done.
If a software solution was in high demand, these people would likely be seeking experts or ready-made tools to streamline their task. So what I did was I basically analyzed thousands of job postings on Upwork to find recurring software challenges that could be transformed into viable SaaS solutions.
I scraped all of the postings from over 500 categories and I used AI to analyze through each to identify common jobs people are posting, and highlight potential improvements or new features that could be developed as standalone products or integrated plugins.
I then separated the data by categories and by industry, highlighting task specific problems users were having as well as category specific problems.
If you’re building (or improving) a SaaS, this application might save you a ton of guesswork on finding a SaaS idea to build!
What if you could describe what you want to learn about and find Reddit users to connect with?
introducing linkeddit.com
all you have to do is...
- Describe what you are looking for. For example, "I want to learn how to market my SaaS, who should I contact?"
- The website will use this description and auto generate a pipeline with Reddit keywords and subreddits to scrape from (you can add your own on top of it)
- The AI agent will then scrape Reddit posts, comments, user profiles, karma and user activity to give you a list of users to connect with!
I found it so much easier to get help from people who have experience in any field with this application.
I had this application with 0 users, and I connected with people that the pipeline gave me to ask how I can improve my landing page, or my marketing skills etc. After I took in feedback and improved my application, I got my first sale in the first 30 minutes after relaunching.
And it's not a lead spam database. It's used for connecting with subject matter experts if you want to ask questions or ask for feedback/improvement on an application, or for research on anything
Hey everyone! I'm a 15 year old developer and I just launched this application called linkeddit.com, which is a database full of analyzed Reddit users that are scraped from over 20k+ posts and 100k+ comments across 120 different subreddits.
I use this database to connect with subject matter experts on Reddit so that I can ask questions to professionals in different fields, such as marketing or SaaS development to improve my skills if I need help on something.
A lot of people don't know who to connect with for better advice on a specific topic, so to solve this problem, I scraped and analyzed posts, comments, user profiles, karma and user consistency/activity for different Reddit users to find the most experienced users in a specific subreddit. There are around 50 users of the highest contributors/relevancy for each subreddit.
After that, I put all of the user profiles in a database, and added some advanced filter options so that you can find users based on subreddit or specific keywords/niches.
For example, this is also how I got my first SaaS application from 0 to 72 sales, as I found it easier to get help from people who have experience in SaaS, and I connected with them to ask how I can improve my landing page, or my marketing skills etc.
If you are wanting to find and connect with relevant users, this database will save you tons of time!
Great job on the design and the aspirations here. I don't know that I understand the value prop though. Is there value in having reddit users arbitrarily ranked? What's the end use by the user? Is the goal for the user to leverage the connection and reach out directly? Does frequent posting / using the targeted keywords actually equate to being an expert or just someone that posts a lot? I'd argue that it's probably the opposite.
It's a database full of users that can be used for connecting with subject matter experts if you want to ask questions or ask for feedback/improvement on an application, or for research on anything
this can save you a ton of time on finding experts to ask questions to (like you said, it is used for reaching out directly)
And I am still experimenting for the best scraping algorithm to get the best experts, as I check various factors to filter out the best users in each subreddit
I just wanted to share BigIdeasDB. We analyzed real user complaints from Reddit threads, G2 reviews, Upwork jobs, and app store feedback to find validated startup opportunities. Instead of guessing what to build, you get data on problems people are actively trying to solve.
Key features: => Reddit Pipeline - Monitor subreddits for problems and solutions in real-time => G2 Analysis - Find what users hate about existing software to spot opportunities => Upwork Analysis - Identify repetitive tasks that can be automated into products => App Store Analysis - Discover improvement opportunities from negative reviews to create a superior competitor => BuildHub - Plan and manage your entire product in one workspace => BuildGuide - AI cofounder walks you through 8 validation stages + much more!
We've indexed problems with evidence of demand. Each comes with pain point analysis, a solution to the problem, and links to the sources + more deeper analysis.
Built for founders by founders who want to skip the guesswork and build products people actually need.