Trigify Alternative for LinkedIn Signals: Is SignalRaven Right for You?

TL;DR

Trigify's standalone platform is retiring. For most customers, standard access ends on October 22, 2026. Follow your account notice if your terms differ.
If you used Trigify for LinkedIn signals, the core monitoring workflows map to SignalRaven: specific people's posts, company pages, keyword searches, company mentions, reactions and comments.
The biggest workflow change is qualification. Instead of rebuilding ICP logic across prompts and conditions, SignalRaven evaluates people through a structured qualification process before delivering them as signals.
SignalRaven also adds urgency, signal history, person and company context, Account Intelligence, Conference Intelligence and AI access to your signal data.
SignalRaven is focused on LinkedIn. If you rely on Trigify for X, Reddit, YouTube, podcasts, job-change alerts or contact data, keep those functions elsewhere in your stack.
Export your Trigify sources, prompts, conditions and historical data before your access ends, then run both systems in parallel before cutover.

SignalRaven isn't a clone of Trigify. The source concepts map closely for LinkedIn, but qualification, prioritization and signal intelligence work differently. A migrating team shouldn't expect to rebuild the same node graph. It should expect to rebuild what each workflow was trying to accomplish, and to get a few things the old setup didn't have.

Why Trigify customers need a replacement

On September 23, 2026, Trigify announced that its team is joining HubSpot and that it's winding down the standalone Trigify platform. The announcement sets the standard date: "For most customers, access will remain available until 11:59pm BST on 22 October 2026." If your contract has other notice terms, follow the notice sent to your account.

Monitoring, signal collection, integrations and API access all stop when access ends. Don't make October 22 your migration date. Make it your absolute deadline, and run both systems before then.

Is SignalRaven a direct Trigify replacement?

Trigify reaches past LinkedIn. Its supported platforms page lists X, Reddit, YouTube, podcasts, Substack, Hacker News and daily.dev as sources. SignalRaven covers LinkedIn only.

That focus is deliberate. A narrower channel lets the workflow go deeper after activity is discovered: identifying the person behind the engagement, qualifying them against your ICP, adding person and company context, scoring urgency, tracking previous signals and routing qualified activity into the tools your team already uses.

SignalRaven may not be the right standalone replacement if:

Most of your Trigify value came from X, Reddit, YouTube, podcasts or other non-LinkedIn sources.
You primarily used Trigify for continuous job-change monitoring.
You need email and phone enrichment built directly into the signal platform.

SignalRaven is worth evaluating if:

LinkedIn was an important source of signals.
You monitored people, competitors, companies, keywords or mentions.
You want qualification built into the signal pipeline rather than maintained through prompt chains.
You want person- and account-level signal history, prioritization and AI access to the resulting data.

How your Trigify LinkedIn workflows map to SignalRaven

For teams using Trigify primarily to monitor LinkedIn, the setup maps onto four of SignalRaven's source types. Each name below matches its label in the portal, and the step-by-step migration playbook walks through the map row by row.

Trigify workflow	SignalRaven equivalent	Notes
Tracked people's posts (thought leaders, executives)	Posts written by specific people	Paste up to 20 profiles at a time. Each profile becomes its own source.
Company page monitoring	A company's LinkedIn page	Works for competitors, partners or any company whose audience includes people who fit your ICP. The staff filter sets aside that company's own people.
Saved keyword and Boolean searches	Posts matching keywords	Translate each search into short quoted phrases in practitioner language.
Brand or competitor mention watches	Posts that mention a company	Paste up to 10 companies at a time.
Post likers and commenters	Built into every source above	SignalRaven collects the people engaging on each post its sources find. There's no on-demand pull for a single post URL.

Every profile, page, search and mention watch counts as its own source. The trial and Solo allow 20 sources, Pro allows 80 and Scale is unlimited. Count your Trigify inventory before you compare plans and source caps.

AI setup from your company URL gives you a head start. It drafts your ICP, competitor company pages, a mention source for each competitor, keyword searches and your own page. Treat that draft as a starting point: your proven Trigify sources should take priority while you validate the move.

LinkedIn workflows you can add after migration

Migration is also a chance to expand the signal program. These don't map from a Trigify node. They're sources and views you didn't have before.

Conference Intelligence. Add a conference as a source and SignalRaven follows its LinkedIn conversation before, during and after the event, then qualifies the people posting and engaging around it like any other source.
Follow a specific person's activity. When the person matters, and not just the audience around their posts, SignalRaven can follow that person's own public LinkedIn activity and evaluate it for relevance.
Account Intelligence. Move from an individual signal to broader company context, including relevant stakeholders and the previous SignalRaven activity associated with the account.

The biggest change: you don't rebuild qualification as a prompt workflow

In Trigify, teams often encoded ICP logic into prompts, chained Agent nodes and If conditions, and configured severity themselves. Trigify's guide to writing effective agent prompts gives an ICP example that checks company type, headcount, seniority and department, then answers yes or no. A Configure Signal node then sets each signal's severity to LOW, MEDIUM or HIGH.

In SignalRaven, qualification is built into the signal pipeline. Every engager goes through the same 14-stage qualification process. Some stages enrich the profile, write the signal or deliver it. Others decide who gets through. The checks below do the work your prompts used to do.

Monitoring engagement is easy. Deciding which engagement matters is harder. In SignalRaven data, roughly 3 in 10 people reacting to competitor company-page posts work for the company that published the post.

Staff filter. It sets aside anyone who works at a company whose LinkedIn page you watch, including those 3 in 10. Your own page counts too.
Competing-vendor check. SignalRaven classifies the person's employer as a competing vendor (a seller, in the product's label), an influencer or a target company. People at competing vendors are set aside before they become signals. A VP of Sales at a company that fits your ICP isn't a seller in this sense.
ICP thresholds. Title and role, market affinity, industry, company size and location each carry their own threshold, and a person has to clear every switched-on dimension their data covers. That's different from a single prompt that answers "Does this person fit? Yes or no." Evaluating the dimensions separately makes qualification more explainable and more tunable than a prompt chain.
Exclude influencers. This optional toggle removes consultants, agencies and systems integrators. Leave it off and they arrive labeled instead.

In SignalRaven data, about 3% of the people who engaged with a monitored LinkedIn post became a qualified signal, roughly 1 in 30. That isn't a target conversion rate. It illustrates how much activity gets removed before reaching the signal feed.

Before your end date, open every Trigify workflow and copy each agent prompt and If condition into one document. Mark the real criteria inside them: titles, industries, headcount, regions and exclusions. The first four become ICP fields, and the playbook's prompts-to-ICP step shows where each one goes. Check each exclusion against the staff filter, the competing-vendor check and the influencer toggle before you rebuild it by hand.

What you gain beyond the equivalent Trigify workflow

Capability	What it gives you
Structured ICP qualification	Five dimensions with their own thresholds instead of yes/no prompt logic
Staff and competing-vendor filtering	Noise removed before delivery
Urgency	Prioritization from 1 to 10 instead of LOW, MEDIUM and HIGH
Signal history	Activity accumulates across people and companies
Account Intelligence	From one person's signal to broader account context
Person Intelligence	Investigate an individual when needed
Conference Intelligence	Monitor signal activity around events
MCP and API	Analyze signal data through AI assistants or your own applications
Destinations and signed webhooks	Fit into the existing GTM stack

From severity to signal history

Urgency isn't a renamed severity field. Every signal gets a score from 1 to 10 that starts from an AI base and rises with recent signals from the same person or company, a top-relevance post and an employer classified as a target company. That lets activity build context over time instead of treating every engagement as an isolated event.

Trigify could assign severity to an individual signal. SignalRaven also looks at the person's and company's signals from the last 90 days, so repeated signals start to form a pattern rather than appearing as unrelated events. The signal stack view on Pro and Scale shows that history on each signal, and you can set a minimum urgency per destination.

What each signal carries

Signal context	Included
Person	Name, title, company, LinkedIn profile
Qualification	ICP dimension scores
Activity	Source post, with the comment text when there is one
Prioritization	Urgency
Context	Why it matters
History	Previous signals from the person or company
Activation	Talking points and a suggested opener on stronger signals

You don't need to rebuild your downstream workflow

SignalRaven delivers qualified signals directly to Slack, Google Sheets, Notion, Clay and n8n, or through signed webhooks into your CRM and automation stack. Every webhook delivery carries an HMAC-SHA256 signature and an Idempotency-Key header with the signal ID, so your receiver can drop repeats. Your CRM or sequencer takes the webhook through an automation tool such as Zapier, Make or n8n.

SignalRaven's MCP server also makes the signal dataset available to AI assistants such as Claude and ChatGPT. A team can ask which accounts generated multiple high-urgency signals this week, which sources are producing the strongest ICP matches, or what recent activity exists around a specific company. The REST API gives your own scripts read access to the same data.

What still needs another tool

Channels beyond LinkedIn. X, Reddit, YouTube, podcasts and the rest of Trigify's source list need a separate tool.
Continuous job-change monitoring. SignalRaven doesn't monitor job changes as a signal source. Person Intelligence can surface a recent job change when you run an individual person lookup.
Email and phone lookup. SignalRaven focuses on finding and qualifying the signal. Keep your existing enrichment or contact-data provider downstream. If that step lives in a Clay table, Clay connects directly as a destination.

How to test SignalRaven before Trigify shuts down

Run both systems on the same sources for a short period. Log every signal in one sheet with the tool that found it, and dedupe on the LinkedIn profile URL. Then compare:

Coverage. Did both systems find the same relevant conversations?
People discovered. Which engagers did each identify?
ICP precision. Which people actually fit?
Noise removed. Competitor employees, vendors, consultants and wrong roles.
Context. What information came with each signal?
Prioritization. Could you tell what deserved attention first?
Delivery. Did the signals reach your downstream systems correctly?

Read through the people only one tool kept. That's where the qualification difference shows.

Migration checklist

Export while your account still works. Save workflow output tables, the profiles and pages you monitor, your saved searches, and every agent prompt and If condition. The export guide lists what to capture.
Start SignalRaven while Trigify still runs. Begin early so your first signals arrive with time to compare. On a 20-source plan, the AI setup draft can fill the cap by itself, and the extras stay paused. Swap drafted searches for the Trigify sources that earned their place.
Run both systems on the same sources and compare them on the criteria above. Set a cutover date ahead of your Trigify end date.
Rebuild the rest in order. The migration playbook takes you through sources, the ICP, destinations and cutover.

Trigify alternative FAQ

Is SignalRaven affiliated with Trigify or HubSpot?

No. SignalRaven is an independent company and has no partnership with Trigify or HubSpot. Your Trigify account notice governs your dates, data and billing, and Trigify's team answers questions about them during the notice period.

Does SignalRaven monitor X, Reddit, YouTube or podcasts?

No. SignalRaven covers LinkedIn only. If those channels fed your pipeline, keep a separate tool for them.

Does SignalRaven track job changes or hiring?

SignalRaven doesn't continuously monitor job changes or hiring as a signal source. Person Intelligence can surface a recent job change when you run an individual person lookup.

Does SignalRaven find email addresses or phone numbers?

No. Each signal carries the person's LinkedIn profile URL, so keep your email-finding step between the signal and your sequencer. If that step lives in a Clay table, Clay connects directly as a destination.

Can SignalRaven send signals to my CRM?

Yes, through a signed webhook and an automation tool such as Zapier, Make or n8n. Slack, Google Sheets, Notion, Clay and n8n connect directly.

Can I import my Trigify lists into SignalRaven?

There's no Trigify importer or CSV upload, and the API can't create sources. Paste LinkedIn URLs in batches: up to 20 profiles per paste for "Posts written by specific people" and up to 10 companies per paste for "Posts that mention a company."

Will my Trigify data move to SignalRaven?

No. SignalRaven has no access to your Trigify account. Trigify says customer data won't transfer to HubSpot and accounts won't migrate there. Export what you need yourself before your end date.

When does Trigify access end in my time zone?

Standard-notice access ends at 11:59pm BST on October 22, 2026, which is 22:59 UTC, 6:59pm in New York and 3:59pm in San Francisco. BST still applies that day because UK clocks go back on October 25 (GOV.UK), and US daylight time runs until November 1 (NIST). Customers on other contract terms get their own dates in an account notice. Treat your end time as the deadline, and set your cutover well before it.

Does SignalRaven need my LinkedIn login?

No. SignalRaven never asks for your team's LinkedIn logins, cookies or sessions, and no rep's LinkedIn account connects to it.

Start free trial →