Walkthroughs of the tools in a modern go-to-market stack, grouped by what each tool does.
This is a filtered view of tool and system demos. For the full library, including strategy conversations, operator interviews and founder episodes, go to all episodes.
Each demo has its own page with a written outline of the walkthrough, so you can read what the tool does before you decide whether to watch anything.
Two kinds of demo sit on this page. Founder walkthroughs are recorded conversations in which the person who built a tool shows it and answers our questions about where it fits. System demos are our short write-ups of individual systems: what each one does and the kind of team it suits.
Read the founder walkthroughs as the vendor's best case. The useful parts are the ones a sales demo tends to skip: what data the tool needs before it works, which team ends up owning it, and how it writes back to the CRM.
A tool appears here because we recorded or wrote up a demo of it. That is not a recommendation. The systems LeanScale implements and runs for clients are listed on our partners page.
Use the groups below to find the part of the stack you are working on. Each group is labelled with the practice it belongs to.
Grouped by the job the tool does rather than by vendor category, because most of these tools do not sit neatly in one.
Growth Operations. The systems that find accounts showing intent and get a relevant message in front of them: enrichment, signal capture and sequencing. The hard part is relevance, not volume.
Zayd Ali walks through Valley, positioned as an AI-driven SDR that handles prospecting and outreach at volume, and the workflow changes a team makes to run it…
Mica Oliveira walks through Amplemarket, covering the platform's capabilities across prospecting, enrichment and outbound sequencing, and the use cases where…
David Walker, founder and CEO of Spara, walks through the platform's multi-channel AI agents and where they fit in a Go-to-Market motion, what they handle…
Mustafa Saeed, co-founder and CEO of Luella, walks through the platform and argues for why AI agents in a revenue motion need explicit guardrails rather than…
RB2B identifies anonymous website visitors at the person level rather than the company level, turning existing site traffic into named prospects. That…
Clay aggregates many enrichment providers behind one interface, so a record can be enriched by falling through a waterfall of sources rather than depending on…
Revenue Operations. The CRM, the objects in it and the data that keeps those records current. Every other tool depends on this layer, so these are the demos to read before a migration.
Zev Lebowitz walks through Attio and its data-model-first approach to CRM, where objects and relationships are shaped to the business rather than adapted to a…
Traction Complete addresses data management inside Salesforce across three areas: data quality, data connectivity between objects, and process orchestration.…
Ghalib Suleiman walks through Polytomic and how it moves data between the warehouse and Go-to-Market systems, so CRM records stay current without custom…
Revenue Operations. Call recording, deal inspection, coaching and the channels where customer conversations happen. The recurring theme is adoption: the rollout is easy and the behaviour change is not.
Gong records and analyzes sales conversations, then surfaces AI-derived patterns across them, which topics correlate with won deals, where reps lose control of…
Adam Roberts walks through the Ebsta platform, covering revenue intelligence, pipeline health scoring and the benchmark data behind its forecasting signals.
Yogi Pajabi, founder and CEO of PeopleLens, walks through the platform and the people-data problems it addresses for Go-to-Market teams.
Christina Brady walks through Luster and its approach to AI-driven sales simulation, practising against realistic buyer scenarios before live calls, with…
Unthread manages customer support and internal requests inside Slack, so conversations that already happen there become tracked, assignable tickets. It suits…
Revenue Operations. Analytics tools and the AI agents that are starting to sit on top of the stack. This is the part of the stack changing fastest, and the part most worth checking against your own data.
Qflow AI is a Go-to-Market finance platform applying AI to revenue analysis, connecting pipeline and bookings data to the financial picture. It is aimed at the…
Neel Kamal walks through Adam X, covering what the platform does for Go-to-Market teams and where it fits alongside the systems already in the stack.
Tony Tom, founder and CEO of Orca, walks through how the platform applies AI to Go-to-Market work and where it fits in the existing stack.
Writer applies generative AI to Go-to-Market content while enforcing brand voice and approved terminology. The value is consistency at volume: it lets a small…
Financial Operations. CPQ, billing and revenue recognition. The least glamorous group, and the one that causes the most expensive problems when it is wrong.
Prakash Raina, founder and CEO of Subskribe, walks through the platform's approach to CPQ, billing and revenue recognition as one system rather than three…
DealHub is cloud-based quoting and proposal software covering the path from configuration through approval to signature. Its emphasis is guided selling,…
Salesbricks is a CPQ platform aimed at automating the back-office work around a quote, approvals, order forms, and the handoff into billing, behind a…
RevVue handles revenue recognition, tracking and managing recognized revenue against contracts and schedules. It matters most where billing terms are complex…
Watching a tool work in someone else's environment is useful, and it is also the most common way a GTM team talks itself into a bad purchase. The demo shows the tool at its best: clean data, a configured instance, an operator who built it and knows every edge. Your environment has none of those things on day one.
Three things are missing from every demo, including ours.
The data precondition. Almost every tool in a GTM stack assumes something upstream is already true. An enrichment tool assumes you have a reliable account object to enrich. A forecasting tool assumes your stages mean the same thing to every rep. An attribution tool assumes your source taxonomy is governed rather than free text. When a tool underperforms after rollout, the cause is usually that one of those assumptions was false and nobody checked.
The ownership question. Every tool creates work. Someone has to maintain the sequences, review the enrichment credits, fix the routing rule when the territory changes, and answer the question of why the dashboard disagrees with the CRM. Demos never show that work because it does not exist yet in a demo environment. Before buying, name the person who will own the tool in month six. If you cannot, you are not buying a tool, you are buying a future backlog item.
The integration surface. A tool that works well alone can still be the wrong choice if it writes to fields another system also writes to. Most GTM stack failures are not tool failures. They are two tools disagreeing about the same record. The question to ask of any new purchase is not what it does but what it writes to, and what else writes there.
This is the gap between a tech stack and a GTM architecture. A stack is the list of tools you bought. An architecture is the decision about what each one owns, what data it is allowed to write, and how they hand off between them. The tools in these demos are mostly good tools. Whether they will work for you depends almost entirely on the architecture they land in.
If you want the architecture question answered rather than the tool question, that is how we design and build GTM architecture. If the problem is that you already own twelve of these tools and nobody is running them, that is RevOps as a Service.
This page lists tool and system demos only. The full episode library holds all 143 podcast episodes, including strategy conversations, operator interviews and founder stories, and it has its own search.
Two places. Founder walkthroughs are recorded conversations in which the founder or product lead of each tool shows what it does. System demos are short LeanScale write-ups of individual systems: what each one does and the kind of team it suits.
Not categorically. The right tool depends on your stage, your CRM, your data quality and who will own it. What the demos show is the problem each tool is built for.
Usually yes. LeanScale runs four practices, Growth Operations, Marketing Operations, Revenue Operations and Financial Operations, as embedded pods working inside your systems. The first question is whether a new tool is the right fix at all, which is what a GTM diagnostic is for.
Browsing the stack? The full episode library has all 143 episodes with search.
Trying to decide what to buy? Our research and playbooks cover the decisions behind the tools.
Already own the tools and need someone to run them? Talk to us about a GTM diagnostic.