Deelaka Alawathugoda

Congrats on the launch! Great how you’ve framed this as “ChatGPT with hands” - the idea of one assistant executing across apps hits a real pain for ops and marketing teams juggling multiple tools. One thought; What if you let new users run a prebuilt sample workflow (eg. Slack + Google Sheets) instantly? It could give the ‘aha’ moment in under 2 minutes, before they even connect their own apps....

Congratulations HeadsUp team! Love the framing of competitor intel as an “agent” rather than static reports, makes it actionable for GTM teams right away. A small suggestion: what if you add a simple in-app usage meter (e.g., “competitors tracked / alerts received”)? It could help users feel in control, see instant value/progress, and even open doors for upsells. What’s been the average time...

Strong positioning! Simulating real users pre-launch is a big gap in AI QA/security workflows. The PQL would be - create first scenario → run first simulation job → review results in dashboard, right? If you build out usage-based plans, I have a couple of suggestions if you don't mind; • Run 1–2 shadow-billing cycles before go-live so sim job counts and minutes align with what customers expect...

Nice execution on auto‑SQL across CRMs and the way you join sources into dashboards and workflows. I think the PQL is - connect first sources → first successful AI‑written SQL query → first chart or scheduled workflow, yeah? Two small levers to speed activation and keep trust high, let me know what you think. • Faster activation - A guided sample workspace that connects instantly and guarantees...

Congrats on the momentum! Clean OSS SDK with cloud control plane is a strong combo for MCP teams. I think PQL is, first agent registered → first request routed through the control plane → first managed server live (or first shadow bill pass), right? I have few suggestions, if you lean towards billing/metering. Let me know what you think! • Run 1–2 shadow cycles before going live - so request...

Congrats on launch! its great how you wrapped metering + credits into a clean API. I think PQL is: first usage event tracked → first entitlement check live → first shadow-bill run yeah? If you ever add direct billing on top, I have few suggestions if you don't mind; • Run 1 or 2 shadow cycles before going live so usage tracking matches what customers expect to see on invoices. • Add a gentle...

Congratulations! Great PLG fit, prompt to render plus collaboration. Have few suggestions if you don't mind! Let me know what you think. Track generations/exports as the usage driver and add a gentle in-app meter with early alerts, so that retention and upsell will likely increase. A guided example project with presets that produce an export in under few minutes can convert more first-time...

Congratulations! Strong PLG surface. I think PQL here is, 1. GitHub/GitLab + Linear connected 2. first AI-coded PR merged 3. ROI view by a team lead, yeah? If you don't mind, I have few suggestions, let me know what you think. Add a "simulate on sample repo" function to show value instantly without touching customer code. Maybe trigger a human touch from the team when few integrations are...

Congratulations! PLG looks strong. If you don't mind few suggestions, how about showing a first-run ‘what stays on-device’ screen to reinforce trust and keep telemetry aggregated? For teams, if you prompt ‘create team’ after around the second meeting, it could catch users at peak motivation. Also, how are you tracking time to first search success? That feels like the real aha and could...

Congratulations on the launch! A quick idea, what if you have an embedded ROI and/or a credit-use calculator, maybe in the sign-up flow? For example, an ROI calculator (based on 500 credits/month, with a 2% meeting‑booked rate and $1k average deal size = $10k pipeline per month) would show the impact first-hand. And a credit‑use calculator (e.g. one enriched lead = 1 credit, one email send =...