See llms.txt for all machine-readable content.

OpenAI and Product Hunt integration

Save yourself the work of writing custom integrations for OpenAI and Product Hunt and use n8n instead. Build adaptable and scalable AI, workflows that work with your technology stack. All within a building experience you will love.

How to connect OpenAI and Product Hunt

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

OpenAI and Product Hunt integration: Create a new workflow and add the first step

Estimate Construction Costs from Revit/IFC Models with GPT-4 and Claude

Estimate material price and total cost for grouped BIM/CAD elements using an LLM-driven analysis. The workflow accepts an existing XLSX (from your model) or, if missing, can trigger a local RvtExporter.exe to generate one. It enriches each element group with quantities, pricing, confidence, and produces a multi-sheet Excel report plus a polished HTML executive report. What it does Reads grouped element data (from XLSX or extracted via RvtExporter.exe). Builds enhanced prompts with clear rules (volumes/areas are already aggregated per group). Calls your selected LLM (OpenAI/Anthropic/etc.) to identify materials, pick the pricing unit, and estimate price per unit and total cost. Parses AI output, adds per-group KPIs (cost %, rank), and aggregates project totals (by material, by category). Exports a multi-sheet XLSX and an HTML executive report (charts, KPIs, top groups). Prerequisites LLM credentials for your chosen provider (e.g., OpenAI, Anthropic). Enable exactly one chat node and connect credentials. Windows host only if you want to auto-extract from .rvt/.ifc via RvtExporter.exe. If you already have an XLSX, Windows is not required. Optional: Internet access on the LLM side for price lookups (model/tooling dependent). How to use Import this JSON into n8n. Open the Setup node(s) and set: project_file — path to your .rvt/.ifc or to an existing grouped *_rvt.xlsx path_to_converter — C:\\DDC_Converter_Revit\\datadrivenlibs\\RvtExporter.exe (optional) country — used to guide price sources/standards (e.g., Germany) In the canvas, enable one LLM node (e.g., OpenAI or Anthropic) and connect credentials; keep others disabled. Execute workflow (Manual Trigger). It will detect/build the XLSX, run analysis, then write the Excel and open the HTML report. Outputs Excel: Price_Estimation_Report_YYYY-MM-DD.xlsx with sheets: Summary, Detailed Elements, Material Summary, Top 10 Groups HTML: executive report with charts (project totals, top materials, top groups). Per-group fields include: Material (EU/DE/US), Quantity & Unit, Price per Unit (EUR), Total Cost (EUR), Assumptions, Confidence. Notes & tips Quantities in the input are already aggregated per group — do not multiply by element count. If you prefer XLSX-only extraction, run your converter with a -no-collada flag upstream. Keep ASCII-safe paths and ensure write permissions to the output folder. Categories Data Extraction · Files & Storage · ETL · CAD/BIM · Cost Estimation Tags cad-bim, price-estimation, cost, revit, ifc, xlsx, html-report, llm, materials, qto Author DataDrivenConstruction.io [email protected] Consulting and Training We work with leading construction, engineering, consulting agencies and technology firms around the world to help them implement open data principles, automate CAD/BIM processing and build robust ETL pipelines. If you would like to test this solution with your own data, or are interested in adapting the workflow to real project tasks, feel free to contact us. Docs & Issues: Full Readme on GitHub

Build your own OpenAI and Product Hunt integration

Create custom OpenAI and Product Hunt workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

OpenAI supported actions

Supported methods for Product Hunt

Delete
Get
Head
Options
Patch
Post
Put

To set up Product Hunt integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Product Hunt to query the data you need using the API endpoint URLs you provide.

See the example here

Requires additional credentials set up

Use n8n's HTTP Request node with a predefined or generic credential type to make custom API calls.

OpenAI and Product Hunt integration details

OpenAI

OpenAI

OpenAI, the creator of ChatGPT, offers a range of powerful models including GPT-3, DALL·E, and Whisper. Leverage these models to build AI-powered workflows.

Product Hunt

Product Hunt

Product Hunt is an online platform that allows users to discover and share new products and technologies. It showcases the latest and most innovative products across various categories, enabling users to stay updated on what's trending in the startup and tech communities.

Other integrations with OpenAI and Product Hunt

FAQ about OpenAI integrations

Need help setting up your OpenAI and Product Hunt integration?

Discover our latest community's recommendations and join the discussions about OpenAI and Product Hunt integration.

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    How to define AI-powered Extra Workflow Inputs in AI tools?

    Artem

    Describe the question I need to pass to the tool some data from the AI Agent. Like, “task name” and “task tags” to create a task via Custom Workflow Tool. So I don’t know what to refer to in the Extra Inputs. Because th…

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    The prompt is not being executed

    sérgio eduardo floresta filho

    Hello! My goal is to use Google Forms to collect information from my clients and then use n8n to automate the processing of this information. My workflow involves: Collecting data through Google Forms. Using n8n to re…

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  • Heisenbug

    How to handle multi-message prompts in OpenAI Chat node?

    Heisenbug

    Describe the problem/error/question I want to send multiple messages to the OpenAI Chat node (LangChain → LLM Prompt Template) in a single execution, simulating a conversation. The first message is fixed, and the followi…

    Open topic
  • Julien

    OpenAI node - How to use the new Endpoint?

    Julien

    Is it possible to choose the Responses API or OpenAI ? It has been updated a few months ago by OpenAI, but the node still seems to be using the old Completions API. [https://platform.openai.com/docs/guides/migrate-to-re…

    Open topic
  • Andrew adawdad

    OpenAI not receicving JSON data from previous node

    Andrew adawdad

    Describe the problem/error/question Im currently using the openAI node to send a text message to the system. I am sending the previous nodes JSON data, but the openai response says that im only sending {{ $json }} instea…

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Why use n8n to integrate OpenAI with Product Hunt

Handle branching, merging and iteration easily. Pause your workflow to wait for external events.

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