Haku
← Blog
GTM Tools · Q3 2026 · Curated Roundup

10 GTM tools worth checking out in Q3 2026.

Not ZoomInfo. Not Salesforce. Not the tools every analyst report has named three years running. This is the list of startups, emerging infrastructure, and genuinely interesting new entrants that deserve space in your GTM stack right now — mapped by use case with an honest take on each one.

Cameron Evans
Cameron Evans · Founder & CEO, Haku
17 June 2026 · 10 min read

The most interesting GTM innovation in 2026 is not happening at the incumbents. It is happening at a layer below — tools that assume AI is the default, that do not need to retrofit intelligence onto a legacy database, and that are built for the way outbound actually works rather than the way it worked in 2018. Here are ten worth your attention this quarter.

Intelligence & Signal Layer

HakuOur pick
Signal monitoring · Account research · Waterfall enrichment · Outbound intelligence
Best for: outbound teams who want signals + enrichment without engineering overhead

Haku builds a custom ICP model from your CRM data and closed-won history, then monitors every relevant public data source — LinkedIn, job boards, Companies House, news, tech signals — for the buying triggers that indicate a target account is in an active window. When a funding round closes, a new VP of Sales is hired, or headcount in a relevant function spikes, the rep is alerted and the account brief is already built. Contact enrichment runs through FullEnrich across 17+ independent providers with triple SMTP verification before anything reaches a sequence. Bounce rates below 3%. Pre-built list delivered daily through a chat interface — no RevOps setup, no engineering required. Consolidates Apollo, Clay, Cognism, and Instantly into one AI-native platform.

Strengths
+Custom signal models from your real data
+17+ provider waterfall — not a single database
+Verification at point of outreach, not purchase
+Chat interface — zero technical setup
+Replaces 4 tools in one platform
Limitations
−Not an autonomous AI SDR — rep still closes
−Best with defined ICP and existing customer data
RB2B US traffic onlyStartup
Person-level website visitor identification · Slack alerts · Intent signals
Best for: turning anonymous website traffic into named prospects

RB2B does one thing — identifies individual visitors to your website at the person level, not just the company level, and pushes their name, company, LinkedIn URL, and work email directly to Slack in real time. Install a script, connect Slack, and within minutes you know who visited your pricing page today. The free plan (150 credits/month) is genuinely generous enough to validate whether person-level visitor ID changes your workflow before you spend anything. Integrates natively with Clay, Instantly, HeyReach, and HubSpot so identified visitors can feed directly into enrichment or outreach workflows.

Strengths
+Genuine person-level ID — name, LinkedIn, email
+Real-time Slack alerts — immediate rep action
+Generous free plan to validate before buying
+Native integrations with Clay, Instantly, HubSpot
+G2: 4.5/5 from 280+ reviews
Limitations
−US traffic only — weaker EMEA identification
−5–20% match rate — most visitors still anonymous
−Identification only — enrichment and outreach elsewhere
−Credits exhaust quickly at scale
WarmlyStartup
Visitor identification · AI chat · Inbound orchestration · Signal-based outbound
Best for: converting website visitors into booked meetings without a human in the loop

Warmly goes a layer further than RB2B — it does not just identify visitors, it acts on them. When a target account visits your site, Warmly can trigger an AI chat, surface the rep assigned to that account, alert them in Slack, and fire an automated outbound sequence — all from the same signal. The Context Graph keeps account data synced across inbound and outbound motions, so a visitor who was already in an outbound sequence does not get double-contacted. Strong free plan, stacks 20+ data providers for better identification coverage than single-source tools, and integrates cleanly with Salesforce, HubSpot, and Outreach.

Strengths
+Identification + engagement in one platform
+AI chat engages visitors in real time
+Shared Context Graph across inbound and outbound
+Strong free plan — 500 visitor IDs/month
+20+ data providers stacked for better match rates
Limitations
−Paid plans start ~$700/month — not cheap
−Match rates still 30–65% at company level
−More complex to configure than RB2B

Enrichment & Workflow

ClayStartup
GTM data enrichment · Workflow automation · 150+ data providers
Best for: RevOps teams building bespoke data pipelines

Clay connects 150+ data providers in a spreadsheet-like interface that lets technical GTM teams build precisely the enrichment workflow they need — waterfall logic, custom scoring, signal-based filtering, and direct push to CRM or sequencer. The Claygent AI can scrape websites, parse PDFs, and pull non-standard data points into any workflow. Over 50,000 teams use it, and it holds a 4.7/5 on G2. The honest caveat: it is a building environment, not a finished product. A demo workflow for 60 leads can burn $47 in credits. You need RevOps resource to get value out of it. If you have that resource, it is the most powerful enrichment tool available.

Strengths
+150+ providers — maximum coverage via waterfall
+Claygent for custom web research and scraping
+Deeply flexible — build exactly what you need
+4.7/5 G2 from 189+ reviews
Limitations
−Requires dedicated RevOps to configure and maintain
−Credit costs escalate fast at volume
−Enrichment only — execution happens elsewhere
−Not designed for reps to use directly
Relevance AIAI Agents
AI agent workforce builder · Multi-agent GTM workflows · No-code automation
Best for: GTM teams who want to build custom AI agent workflows without a full engineering team

Relevance AI sits between developer frameworks like n8n and simple automation tools like Zapier — making it genuinely useful for RevOps and GTM teams who want to build multi-agent workflows without involving engineering. You describe what you want an agent to do, connect it to your tools (2000+ integrations including HubSpot, Salesforce, Instantly, Apollo, LinkedIn, and Gong), and deploy it into a workforce of agents that collaborate. A research agent enriches leads, a qualification agent scores them, a sequence agent drafts outreach — all running continuously. The "Invent" feature and a growing template marketplace accelerate setup significantly.

Strengths
+Multi-agent architecture — agents work together
+2000+ integrations across GTM stack
+Model-agnostic — Claude, GPT-4, Gemini, Llama
+No-code builder for most use cases
+SOC2 compliant, enterprise security
Limitations
−Complex multi-agent systems need technical oversight
−Not a finished product — requires building
−LinkedIn outreach needs a separate tool
−Usage costs require monitoring carefully

Sequencing & Infrastructure

InstantlyInfrastructure
Cold email sequencing · Unlimited mailbox warmup · Deliverability monitoring
Best for: cold email infrastructure and warmup without the complexity

Instantly earns its place on every serious outbound stack for one reason: it solves deliverability properly. Unlimited mailbox connections on all plans, built-in warmup that runs automatically alongside campaigns, inbox rotation across sending accounts, and blacklist monitoring — all without additional per-mailbox charges. Their 2026 Benchmark Report, drawn from billions of real cold email interactions, is the most useful public dataset on outbound performance available. Average reply rate 3.43%, optimal sequence 4–7 emails, first email captures 58% of all replies.

Strengths
+Unlimited mailbox connections on all plans
+Built-in warmup — no separate tool required
+Benchmark data from billions of real sends
+Clean, functional UI — low learning curve
Limitations
−Sequencing only — no prospecting or signal data
−Requires clean verified contact data as input
SalesforgeInfrastructure
Email infrastructure · Dedicated IPs · Warmup · Sequencing ecosystem
Best for: agencies and high-volume senders who need dedicated IP infrastructure

Salesforge's real value is the ecosystem: Mailforge for domain and mailbox infrastructure, Warmforge for unlimited warmup on every plan, Infraforge for dedicated IPs, and the Salesforge sequencer pulling it together. For agencies managing multiple client domains or teams sending at high volume, dedicated IP infrastructure means one domain burning does not damage others. The platform also actively discourages open tracking — a sensible deliverability stance most competitors ignore. G2: 4.6/5 from 258 reviews.

Strengths
+Dedicated IPs via Infraforge — full reputation control
+Warmup + infrastructure + sequencing in one ecosystem
+Discourages open tracking — better deliverability
+Strong for agency and multi-client use cases
Limitations
−Higher price point than Instantly for equivalent volume
−More complex setup than simpler sequencers
−No prospect data or signal layer

Agentic Deal Execution

AirspeedJust raised $20M
Agent-native GTM execution · Deal intelligence · CRM automation · Formerly Glyphic
Best for: revenue teams who want AI that executes work, not just surfaces insights

Airspeed (formerly Glyphic) just raised a $20M Series A led by DN Capital, backed by Atlassian Ventures and Point72 Ventures. Founded by two ex-DeepMind researchers, the pitch is compelling: every other GTM tool surfaces insights, Airspeed executes on them. Agents read calls, emails, CRM changes, and stakeholder movement across the full deal lifecycle, decide the next action, then draft follow-ups, update CRM records, flag risks, and schedule meetings — without waiting to be asked. 200 customers across 20 countries, monthly run volume nearly tripled between January and April 2026, one enterprise customer saved $193K within 90 days. London-based, which matters for UK teams.

Strengths
+Execution-first — agents do the work, not just report it
+Reads across calls, email, Slack, CRM simultaneously
+Ex-DeepMind founders — genuinely advanced AI architecture
+London HQ — strong UK presence and support
+Rapidly growing — 4x revenue YoY
Limitations
−Early stage — product evolving quickly
−Better for deal execution than top-of-funnel prospecting
−Pricing not yet self-serve
ReeceStartup
AI Account Executive · Deal execution · Revenue stack automation · Formerly Jointflows
Best for: AEs who want an AI that runs deal execution across their entire stack

Reece (formerly Jointflows) positions itself as an AI Account Executive — not an SDR, not a copilot, but an agent that understands a deal end-to-end and decides what should happen next. It reads calls, CRM notes, inbox activity, and stakeholder movement to build a live picture of every deal, then executes: drafting follow-ups, updating CRM fields, scheduling meetings, triggering handovers. The knowledge graph learns from millions of B2B deals, so when your deal shows the same signals as deals that historically died at legal, Reece flags it weeks before it becomes a problem. Early results are striking — £44K closed in 3 weeks, 62x reported ROI in production.

Strengths
+Deal-level awareness across every connected tool
+Executes work — drafts, updates, schedules — not just advises
+Knowledge graph trained on millions of real B2B deals
+Runs inside existing stack — no new workflow
+62x ROI claim in live production
Limitations
−Deal execution focus — not a prospecting tool
−Early access — not widely available yet
−Requires connected CRM and call recording to deliver value

Inbound Conversion

BuzzTrailStartup
AI video avatars · Inbound qualification · 24/7 demo delivery · Lead routing
Best for: replacing static web forms with always-on intelligent sales conversations

BuzzTrail deploys what it calls "GTM Hyperhumans" — AI video avatars that qualify inbound leads, run product demos, and book meetings 24/7 without a human present. The average B2B company takes 42 to 48 hours to respond to an inbound lead; BuzzTrail responds in seconds. Each Hyperhuman is trained on a continuous loop from your actual sales calls — the platform attends every call, anonymises the data, and updates the avatar's knowledge daily. Real results: 78% of B2B buyers reportedly choose the vendor that responds first. Three avatars out of the box: Tammy (technical product expert), Sarah (qualification and BANT), and Darius (CRM pipeline capture).

Strengths
+24/7 inbound response — no lead goes cold overnight
+Continuous training from your real sales calls
+Filters time-wasters before they hit the calendar
+Pushes qualified leads with full context to reps
+Novel approach — video avatar engagement, not chatbot
Limitations
−Requires meaningful inbound volume to justify cost
−Prospect perception of AI avatars varies by buyer type
−Very early stage — limited public case study data

The pattern across this list is the same one playing out across the whole GTM market in 2026: the tools doing the most interesting work are not building bigger databases or wider feature sets. They are building narrower, smarter tools that do one specific job in the revenue workflow with genuine AI at the core — not as a label, but as the actual mechanism.

The stack that wins in Q3 is not the longest one. It is the one where each tool solves a distinct, verified bottleneck — and nothing overlaps. Start with your biggest drag. Fix that. Then add the next one.

References

See how many GTM tools Haku replaces.

Book a demo
10 GTM tools worth checking out in Q3 2026. — Haku
← Blog
GTM Tools · Q3 2026 · Curated Roundup

10 GTM tools worth checking out in Q3 2026.

Not ZoomInfo. Not Salesforce. Not the tools every analyst report has named three years running. This is the list of startups, emerging infrastructure, and genuinely interesting new entrants that deserve space in your GTM stack right now — mapped by use case with an honest take on each one.

Cameron Evans
Cameron Evans · Founder & CEO, Haku
17 June 2026 · 10 min read

The most interesting GTM innovation in 2026 is not happening at the incumbents. It is happening at a layer below — tools that assume AI is the default, that do not need to retrofit intelligence onto a legacy database, and that are built for the way outbound actually works rather than the way it worked in 2018. Here are ten worth your attention this quarter.

Intelligence & Signal Layer

HakuOur pick
Signal monitoring · Account research · Waterfall enrichment · Outbound intelligence
Best for: outbound teams who want signals + enrichment without engineering overhead

Haku builds a custom ICP model from your CRM data and closed-won history, then monitors every relevant public data source — LinkedIn, job boards, Companies House, news, tech signals — for the buying triggers that indicate a target account is in an active window. When a funding round closes, a new VP of Sales is hired, or headcount in a relevant function spikes, the rep is alerted and the account brief is already built. Contact enrichment runs through FullEnrich across 17+ independent providers with triple SMTP verification before anything reaches a sequence. Bounce rates below 3%. Pre-built list delivered daily through a chat interface — no RevOps setup, no engineering required. Consolidates Apollo, Clay, Cognism, and Instantly into one AI-native platform.

Strengths
+Custom signal models from your real data
+17+ provider waterfall — not a single database
+Verification at point of outreach, not purchase
+Chat interface — zero technical setup
+Replaces 4 tools in one platform
Limitations
−Not an autonomous AI SDR — rep still closes
−Best with defined ICP and existing customer data
RB2B US traffic onlyStartup
Person-level website visitor identification · Slack alerts · Intent signals
Best for: turning anonymous website traffic into named prospects

RB2B does one thing — identifies individual visitors to your website at the person level, not just the company level, and pushes their name, company, LinkedIn URL, and work email directly to Slack in real time. Install a script, connect Slack, and within minutes you know who visited your pricing page today. The free plan (150 credits/month) is genuinely generous enough to validate whether person-level visitor ID changes your workflow before you spend anything. Integrates natively with Clay, Instantly, HeyReach, and HubSpot so identified visitors can feed directly into enrichment or outreach workflows.

Strengths
+Genuine person-level ID — name, LinkedIn, email
+Real-time Slack alerts — immediate rep action
+Generous free plan to validate before buying
+Native integrations with Clay, Instantly, HubSpot
+G2: 4.5/5 from 280+ reviews
Limitations
−US traffic only — weaker EMEA identification
−5–20% match rate — most visitors still anonymous
−Identification only — enrichment and outreach elsewhere
−Credits exhaust quickly at scale
WarmlyStartup
Visitor identification · AI chat · Inbound orchestration · Signal-based outbound
Best for: converting website visitors into booked meetings without a human in the loop

Warmly goes a layer further than RB2B — it does not just identify visitors, it acts on them. When a target account visits your site, Warmly can trigger an AI chat, surface the rep assigned to that account, alert them in Slack, and fire an automated outbound sequence — all from the same signal. The Context Graph keeps account data synced across inbound and outbound motions, so a visitor who was already in an outbound sequence does not get double-contacted. Strong free plan, stacks 20+ data providers for better identification coverage than single-source tools, and integrates cleanly with Salesforce, HubSpot, and Outreach.

Strengths
+Identification + engagement in one platform
+AI chat engages visitors in real time
+Shared Context Graph across inbound and outbound
+Strong free plan — 500 visitor IDs/month
+20+ data providers stacked for better match rates
Limitations
−Paid plans start ~$700/month — not cheap
−Match rates still 30–65% at company level
−More complex to configure than RB2B

Enrichment & Workflow

ClayStartup
GTM data enrichment · Workflow automation · 150+ data providers
Best for: RevOps teams building bespoke data pipelines

Clay connects 150+ data providers in a spreadsheet-like interface that lets technical GTM teams build precisely the enrichment workflow they need — waterfall logic, custom scoring, signal-based filtering, and direct push to CRM or sequencer. The Claygent AI can scrape websites, parse PDFs, and pull non-standard data points into any workflow. Over 50,000 teams use it, and it holds a 4.7/5 on G2. The honest caveat: it is a building environment, not a finished product. A demo workflow for 60 leads can burn $47 in credits. You need RevOps resource to get value out of it. If you have that resource, it is the most powerful enrichment tool available.

Strengths
+150+ providers — maximum coverage via waterfall
+Claygent for custom web research and scraping
+Deeply flexible — build exactly what you need
+4.7/5 G2 from 189+ reviews
Limitations
−Requires dedicated RevOps to configure and maintain
−Credit costs escalate fast at volume
−Enrichment only — execution happens elsewhere
−Not designed for reps to use directly
Relevance AIAI Agents
AI agent workforce builder · Multi-agent GTM workflows · No-code automation
Best for: GTM teams who want to build custom AI agent workflows without a full engineering team

Relevance AI sits between developer frameworks like n8n and simple automation tools like Zapier — making it genuinely useful for RevOps and GTM teams who want to build multi-agent workflows without involving engineering. You describe what you want an agent to do, connect it to your tools (2000+ integrations including HubSpot, Salesforce, Instantly, Apollo, LinkedIn, and Gong), and deploy it into a workforce of agents that collaborate. A research agent enriches leads, a qualification agent scores them, a sequence agent drafts outreach — all running continuously. The "Invent" feature and a growing template marketplace accelerate setup significantly.

Strengths
+Multi-agent architecture — agents work together
+2000+ integrations across GTM stack
+Model-agnostic — Claude, GPT-4, Gemini, Llama
+No-code builder for most use cases
+SOC2 compliant, enterprise security
Limitations
−Complex multi-agent systems need technical oversight
−Not a finished product — requires building
−LinkedIn outreach needs a separate tool
−Usage costs require monitoring carefully

Sequencing & Infrastructure

InstantlyInfrastructure
Cold email sequencing · Unlimited mailbox warmup · Deliverability monitoring
Best for: cold email infrastructure and warmup without the complexity

Instantly earns its place on every serious outbound stack for one reason: it solves deliverability properly. Unlimited mailbox connections on all plans, built-in warmup that runs automatically alongside campaigns, inbox rotation across sending accounts, and blacklist monitoring — all without additional per-mailbox charges. Their 2026 Benchmark Report, drawn from billions of real cold email interactions, is the most useful public dataset on outbound performance available. Average reply rate 3.43%, optimal sequence 4–7 emails, first email captures 58% of all replies.

Strengths
+Unlimited mailbox connections on all plans
+Built-in warmup — no separate tool required
+Benchmark data from billions of real sends
+Clean, functional UI — low learning curve
Limitations
−Sequencing only — no prospecting or signal data
−Requires clean verified contact data as input
SalesforgeInfrastructure
Email infrastructure · Dedicated IPs · Warmup · Sequencing ecosystem
Best for: agencies and high-volume senders who need dedicated IP infrastructure

Salesforge's real value is the ecosystem: Mailforge for domain and mailbox infrastructure, Warmforge for unlimited warmup on every plan, Infraforge for dedicated IPs, and the Salesforge sequencer pulling it together. For agencies managing multiple client domains or teams sending at high volume, dedicated IP infrastructure means one domain burning does not damage others. The platform also actively discourages open tracking — a sensible deliverability stance most competitors ignore. G2: 4.6/5 from 258 reviews.

Strengths
+Dedicated IPs via Infraforge — full reputation control
+Warmup + infrastructure + sequencing in one ecosystem
+Discourages open tracking — better deliverability
+Strong for agency and multi-client use cases
Limitations
−Higher price point than Instantly for equivalent volume
−More complex setup than simpler sequencers
−No prospect data or signal layer

Agentic Deal Execution

AirspeedJust raised $20M
Agent-native GTM execution · Deal intelligence · CRM automation · Formerly Glyphic
Best for: revenue teams who want AI that executes work, not just surfaces insights

Airspeed (formerly Glyphic) just raised a $20M Series A led by DN Capital, backed by Atlassian Ventures and Point72 Ventures. Founded by two ex-DeepMind researchers, the pitch is compelling: every other GTM tool surfaces insights, Airspeed executes on them. Agents read calls, emails, CRM changes, and stakeholder movement across the full deal lifecycle, decide the next action, then draft follow-ups, update CRM records, flag risks, and schedule meetings — without waiting to be asked. 200 customers across 20 countries, monthly run volume nearly tripled between January and April 2026, one enterprise customer saved $193K within 90 days. London-based, which matters for UK teams.

Strengths
+Execution-first — agents do the work, not just report it
+Reads across calls, email, Slack, CRM simultaneously
+Ex-DeepMind founders — genuinely advanced AI architecture
+London HQ — strong UK presence and support
+Rapidly growing — 4x revenue YoY
Limitations
−Early stage — product evolving quickly
−Better for deal execution than top-of-funnel prospecting
−Pricing not yet self-serve
ReeceStartup
AI Account Executive · Deal execution · Revenue stack automation · Formerly Jointflows
Best for: AEs who want an AI that runs deal execution across their entire stack

Reece (formerly Jointflows) positions itself as an AI Account Executive — not an SDR, not a copilot, but an agent that understands a deal end-to-end and decides what should happen next. It reads calls, CRM notes, inbox activity, and stakeholder movement to build a live picture of every deal, then executes: drafting follow-ups, updating CRM fields, scheduling meetings, triggering handovers. The knowledge graph learns from millions of B2B deals, so when your deal shows the same signals as deals that historically died at legal, Reece flags it weeks before it becomes a problem. Early results are striking — £44K closed in 3 weeks, 62x reported ROI in production.

Strengths
+Deal-level awareness across every connected tool
+Executes work — drafts, updates, schedules — not just advises
+Knowledge graph trained on millions of real B2B deals
+Runs inside existing stack — no new workflow
+62x ROI claim in live production
Limitations
−Deal execution focus — not a prospecting tool
−Early access — not widely available yet
−Requires connected CRM and call recording to deliver value

Inbound Conversion

BuzzTrailStartup
AI video avatars · Inbound qualification · 24/7 demo delivery · Lead routing
Best for: replacing static web forms with always-on intelligent sales conversations

BuzzTrail deploys what it calls "GTM Hyperhumans" — AI video avatars that qualify inbound leads, run product demos, and book meetings 24/7 without a human present. The average B2B company takes 42 to 48 hours to respond to an inbound lead; BuzzTrail responds in seconds. Each Hyperhuman is trained on a continuous loop from your actual sales calls — the platform attends every call, anonymises the data, and updates the avatar's knowledge daily. Real results: 78% of B2B buyers reportedly choose the vendor that responds first. Three avatars out of the box: Tammy (technical product expert), Sarah (qualification and BANT), and Darius (CRM pipeline capture).

Strengths
+24/7 inbound response — no lead goes cold overnight
+Continuous training from your real sales calls
+Filters time-wasters before they hit the calendar
+Pushes qualified leads with full context to reps
+Novel approach — video avatar engagement, not chatbot
Limitations
−Requires meaningful inbound volume to justify cost
−Prospect perception of AI avatars varies by buyer type
−Very early stage — limited public case study data

The pattern across this list is the same one playing out across the whole GTM market in 2026: the tools doing the most interesting work are not building bigger databases or wider feature sets. They are building narrower, smarter tools that do one specific job in the revenue workflow with genuine AI at the core — not as a label, but as the actual mechanism.

The stack that wins in Q3 is not the longest one. It is the one where each tool solves a distinct, verified bottleneck — and nothing overlaps. Start with your biggest drag. Fix that. Then add the next one.

References

See how many GTM tools Haku replaces.

Book a demo