Automate HubSpot + X (Twitter)
The CRM your pipeline reporting depends on. The feed where your market thinks out loud. Put an agent between them and the hand-off stops being manual: it reads, decides, acts, and shows its work.
Lead Researcher is a ready-made agent built around HubSpot; point its last step at X (Twitter) to finish this hand-off.
Automations teams run
Unlike field-mapping automation, the step in the middle is an agent: it can summarise, classify, judge and draft, not merely copy values from HubSpot into X (Twitter).
When a contact or deal is created in HubSpot…
…an agent can post threads and replies in X (Twitter) — after reading the context and deciding it should.
When a stage changes in HubSpot…
…an agent can collect engagement metrics in X (Twitter) — after reading the context and deciding it should.
When a form submits in HubSpot…
…an agent can post threads and replies in X (Twitter) — after reading the context and deciding it should.
When a mention or keyword appears in X (Twitter)…
…an agent can create and enrich contacts in HubSpot — with the reasoning recorded in the run’s receipt.
When a schedule fires in X (Twitter)…
…an agent can update deals and notes in HubSpot — with the reasoning recorded in the run’s receipt.
Copy this HubSpot → X (Twitter) workflow
Start with a custom-api call to api.hubapi.com and the twitter-api node. Configure the HubSpot source payload, the agent input, and the X (Twitter) operation. The sequential template does not implement conditional writes or approval by itself.
This is a schema-checked starting point, not an end-to-end tested automation. Replace every CONFIGURE_ value, choose the operations you intend, connect credentials and map source outputs into later inputs. An edge orders steps; it does not supply a condition, an approval gate or a field mapping. Add and test those controls explicitly before any write. Cloud APIs and model providers may receive data. Keep the workflow inactive until tested with fixtures.
{
"id": "78b0e92f-14f3-42fb-a783-1cb8a524bb66",
"name": "HubSpot → X (Twitter)",
"nodes": [
{
"id": "22089a11-721a-4978-a6f0-46a782065340",
"text": "Run on a schedule",
"x": 512,
"y": 144,
"isEditing": false,
"type": "trigger-timer",
"icon": "connect",
"category": "trigger",
"isSelected": false,
"parameters": {
"fireOnStart": "No",
"scheduleType": "Interval",
"schedule": "Every 15 Minutes"
},
"description": "Setup template for Timer Trigger. This trigger node fires the workflow at specified intervals or at a specific time. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "96d2593a-dd69-4979-ab17-f0d3f2821c56",
"text": "Review source and draft",
"x": 512,
"y": 336,
"isEditing": false,
"type": "agnt-agent",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"agentId": "CONFIGURE_AGENTID",
"message": "Read the HubSpot item. Decide whether it warrants action in X (Twitter), and explain why.\nSource input: CONFIGURE_SOURCE_INPUT. Produce a reviewable draft only; do not take external actions."
},
"description": "Setup template for Agent Chat. Chat with an AI agent from your agent library. Select an agent and send messages to interact with it within your workflow. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "5f454de5-5c54-4680-a577-bdd98a66ce10",
"text": "Configure destination in X (Twitter)",
"x": 512,
"y": 528,
"isEditing": false,
"type": "twitter-api",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"action": "POST",
"text": "CONFIGURE_TEXT"
},
"description": "Setup template for X (Twitter) API. Interact with Twitter to post, quote, reply, delete, retrieve tweets, search, manage follows, and fetch profiles/conversations. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
}
],
"edges": [
{
"id": "7ba7002a-5f0f-4cd7-aa40-23c73c8219f6",
"start": {
"id": "22089a11-721a-4978-a6f0-46a782065340",
"type": "output"
},
"end": {
"id": "96d2593a-dd69-4979-ab17-f0d3f2821c56",
"type": "input"
},
"startX": 800,
"startY": 168,
"endX": 512,
"endY": 360
},
{
"id": "0db7e7aa-e9d3-4d45-a0d2-6a038cf63066",
"start": {
"id": "96d2593a-dd69-4979-ab17-f0d3f2821c56",
"type": "output"
},
"end": {
"id": "5f454de5-5c54-4680-a577-bdd98a66ce10",
"type": "input"
},
"startX": 800,
"startY": 360,
"endX": 512,
"endY": 552
}
],
"zoomLevel": 1,
"canvasOffsetX": 0,
"canvasOffsetY": 0,
"isTinyNodeMode": false
}Configure X (Twitter) API
Interact with Twitter to post, quote, reply, delete, retrieve tweets, search, manage follows, and fetch profiles/conversations.
- action — The action to perform on Twitter Current example:
POST. - text — The content of the tweet, reply, or quote tweet Current example:
CONFIGURE_TEXT.
Install Lead Researcher
Lead Researcher is a working agent built around HubSpot. Install it, point its last step at X (Twitter), and you have this hand-off without building it from an empty canvas.
Runs on your own machine · See what it does
Build it in AGNT
- Download AGNT Community Core — free and local-first.
- Connect HubSpot with one OAuth sign-in and X (Twitter) with one OAuth sign-in; both land in the local vault.
- Start from a marketplace workflow, or drop a custom-api node and twitter-api onto the canvas with an agent between them.
- Put an approval gate on anything consequential, then run it — the receipt shows what was read in HubSpot and what was written to X (Twitter).
HubSpot and X (Twitter) — common questions
Can I connect HubSpot to X (Twitter) without writing code?
No code is required. Add both connections in the vault (HubSpot uses one OAuth sign-in, X (Twitter) uses one OAuth sign-in), then either install a marketplace workflow for this pair or drag the two nodes onto the canvas and put an agent between them.
How is this different from a field-mapping HubSpot to X (Twitter) automation?
Mapping tools move data; this reasons about it. Rather than copying a field into X (Twitter), the agent can weigh what arrived from HubSpot, classify it against criteria you wrote in prose, draft something new, and act only when it is warranted.
Does my HubSpot and X (Twitter) data leave my machine?
Not to us. AGNT runs locally and both sets of credentials are encrypted on your own disk. Outbound traffic goes only to HubSpot, X (Twitter) and whichever model you chose — and pointing that at Ollama or LM Studio keeps everything on your hardware.
What does a HubSpot and X (Twitter) run leave behind?
A receipt: what was read in HubSpot, which tools ran with which arguments, what the agent concluded, and what it wrote to X (Twitter). Anything consequential can sit behind an approval gate so a person signs off before it happens.
