Product Hunt Data Is Now Inside BigIdeasDB Chat
Ask BigIdeasDB chat what launched, who competes or what won the week, and it now checks Product Hunt live, then answers alongside our own data.
What changed?
BigIdeasDB chat can now search Product Hunt in real time. Ask about new launches, alternatives to a product, a product's makers and funding, or who topped the leaderboard, and the chat pulls the answer from Product Hunt while you wait. It then combines it with our complaints, revenue and Stripe Index data in the same reply.
The Product Hunt MCP is Product Hunt's official Model Context Protocol server, the open standard AI assistants use to call outside tools. It launched on Product Hunt on November 9, 2026 and sat at #5 on the November leaderboard three days later. BigIdeasDB chat calls its public research tools for you, so there is nothing to set up. Open the chat and ask.
Researching a niche used to take two tabs: Product Hunt to see who launched in a space, then BigIdeasDB to see whether customers actually complain about it and whether anyone makes money there. Now one question covers both halves. Product Hunt shows what was launched. Our data shows what is wanted and what pays.
What can you ask about Product Hunt?
You don't pick a tool. Ask in plain words and the chat decides when Product Hunt helps. These are the six kinds of question it covers:
| Try asking | What it uses | What comes back |
|---|---|---|
| Alternatives to Jobber | Alternatives | Similar products with ratings and makers |
| Tell me about Linear | Product profile | Makers, rating, review highlights, company, funding |
| Tools for field service scheduling | Use-case search | Products matched by what they do |
| What launched this week? Only YC | Recent launches | Launch date, makers, votes, YC status |
| Best free CRM tools | Category ranking | Top-rated or newest in a category |
| What won Product Hunt in November? | Leaderboard | Rank and votes for a day, week, month or year |
What does it look like? Three real examples
Every product, rating and rank below came back from Product Hunt on November 12, 2026. We didn't edit or reorder them.
1. “Who are the alternatives to Jobber?”
Field service software is one of the verticals our users research most. Here is what Product Hunt returns for Jobber:
On Product Hunt, the closest Jobber alternatives are Fieldmobi (4.86/5), an AI-customizable field service ERP, Service Shark (5.0/5) and Breezeworks (5.0/5), which runs a service business from your phone.
Candia.io also lists dispatch and job tracking but has no reviews yet. Next, I can pull what home service owners complain about in these tools.
- Fieldmobi · AI-customizable, field-focused ERP4.86/5
- Service Shark · Home service management software5.0/5
- Breezeworks · Run your service business from your phone5.0/5
- Candia.io · Dispatch, track jobs and timeNo reviews yet
2. “What won Product Hunt in November?”
The leaderboard works for any day, ISO week, month or year. Four of the top five for November 2026 so far are AI products:
November's leader so far is beacon.sh (512 votes), open-source memory for AI coding agents. Wanaka Studio (495) and Alsona (500) follow. AI tools for builders and sales dominate the top five.
- #1 beacon.sh · Memory for AI coding agents512 votes
- #2 Wanaka Studio · Make 3D games with an AI engine495 votes
- #3 Alsona · AI agents that book sales calls500 votes
- #4 Screen Studio 4.0 · Screen recording, edit by transcript474 votes
- #5 Product Hunt MCP · Product Hunt inside your assistant445 votes
3. “What tools exist for field service scheduling?”
When you describe a job instead of naming a product, the chat searches Product Hunt by use case. For “field service scheduling small business” it returned Service Shark, CatchApp Bookings, Breezeworks and Trafft, all rated 5.0. Notice the launch dates: 2015, 2021 and two from 2023. Nothing in the top four launched in the past two years. That is the kind of signal worth checking against demand data before you build.
Why does Product Hunt pair well with BigIdeasDB data?
Product Hunt is the best public record of what gets launched and how early users rate it. It can't tell you whether a market pays, and it doesn't show the customers who never post there. That is where our own sources come in:
- Demand: 1M+ complaints from Reddit, G2, Capterra and the app stores show what people actually struggle with.
- Money: verified startup revenue in Revenue Intelligence shows what similar products earn.
- Crowding: the Stripe Index counts how many companies already charge in a category.
- Momentum: Product Hunt adds who launched recently, how they were rated and who backed them.
A good research loop is: ask what launched in your niche, ask what customers complain about in those products, then ask what similar startups earn. Turn on Use All Data in the chat to let it pull every source at once.
How does it work, and what are the limits?
BigIdeasDB chat connects to Product Hunt's official MCP server, the same one Product Hunt offers for Claude, ChatGPT and Cursor. Each question makes a fresh call, so results are live and nothing is stored in our database.
- Read-only. Launch drafting, submitting and account tools are switched off. The chat can research Product Hunt, never post to it.
- Up to 8 results per lookup. Product Hunt caps each call, so ask follow-ups to go deeper.
- Product Hunt's view only. Ratings come from Product Hunt reviewers, who skew toward early adopters and makers. Products with no reviews show as unrated, not zero.
- Busy moments. Product Hunt limits how often it can be called. If a lookup is refused, the chat is told why and can still answer from our own data.
For copy-paste prompts and a weekly routine for tracking competitor launches, read how to use Product Hunt data for market research. Prefer to work in your own assistant? You can connect both the BigIdeasDB MCP server and Product Hunt's to Claude or ChatGPT directly.
Ask your first Product Hunt question
Try “alternatives to [a tool you know]” or “what launched this week in [your niche]”, then ask what customers complain about.
Open BigIdeasDB chat →FAQ
What is the best way to research Product Hunt launches for a startup idea?
The best way is BigIdeasDB chat, because it reads Product Hunt live and checks the result against 1M+ customer complaints, verified startup revenue and Stripe Index market counts in one answer. Product Hunt alone shows what launched and how early users rated it. BigIdeasDB adds whether customers want it and whether the market pays.
What is the Product Hunt MCP?
The Product Hunt MCP is Product Hunt's official Model Context Protocol server. It lets AI assistants such as Claude, ChatGPT and Cursor search launches, read product profiles, find alternatives and pull leaderboards. It launched on November 9, 2026, and BigIdeasDB chat uses its public read-only tools.
What Product Hunt data can BigIdeasDB chat access?
Six kinds of public Product Hunt data: alternatives to a named product, full product profiles (makers, rating, review highlights, company and funding), search by use case, recent launches with a YC filter, the best products in a category, and the ranked leaderboard for any day, week, month or year.
Do I need a Product Hunt account to use it?
No. BigIdeasDB calls Product Hunt's public research tools, which work without signing in. There is nothing to connect and no key to paste. Ask the chat a question and it decides when Product Hunt helps.
Can BigIdeasDB chat launch or edit my Product Hunt launch?
No. Only read-only research tools are enabled. Launch drafts, submitting, rescheduling and anything tied to your Product Hunt account are switched off in BigIdeasDB chat on purpose.
Who can use Product Hunt data in BigIdeasDB chat?
Every plan that includes the BigIdeasDB chat at bigideasdb.com/home. Product Hunt is one more source the chat can call, so it follows the same daily query limits as the rest of the chat.
How fresh is the Product Hunt data?
It is live. Each question triggers a fresh call to Product Hunt, so today's launches and this week's leaderboard show up as soon as Product Hunt has them. Nothing is cached or copied into our database.
How is this different from searching Product Hunt directly?
Product Hunt tells you what launched and how the community rated it. BigIdeasDB adds what customers complain about, what similar startups earn and how crowded the market is. The chat reads all of it in one answer, so you can go from 'who launched here' to 'is there room for me' without switching tabs.
BigIdeasDB Research. (2026). Product Hunt Data Is Now Inside BigIdeasDB Chat. BigIdeasDB. Retrieved from https://bigideasdb.com/product-hunt-data-in-bigideasdb-chat