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Smarter Sales- a Solution for Streamlining Feedback After Sales Calls

Hacker News

Smarter Sales- a Solution for Streamlining Feedback After Sales Calls

Hello HN community, I'm Tousif, the founder of Smarter Sales, and I'd like to introduce you to our new tool aimed at addressing a common pain point in the sales process: getting feedback after sales calls. We've designed Smarter Sales to directly deal with this issue. It uses your Zoom calls, providing a detailed breakdown and immediate, tailored coaching for sales reps. The goal? To help sales teams save time, enhance productivity, and make the most of their sales calls. Smarter Sales was born out of my own experiences as an entrepreneur. CRM data filling was always a tedious task and the lack of post-call feedback seemed to leave important details slipping away. Talking to other sales directors, I discovered this was a common hurdle, slowing us down and adding unnecessary complexity to our work. I invite you to check out our landing page (link below) where you can view a demo and, if you're interested, sign up. The first 100 users get to use it for free! I am genuinely interested in your thoughts. Whether you choose to sign up or not, your feedback would be invaluable to us. Do let us know what you think, and if you have any reasons for not signing up, we would love to hear those too. Link: https://smartersales.xyz/ P.S. This is a demo and a sign-up page I look forward to hearing your thoughts, and I appreciate your time. Best, Tousif, Founder of Smarter Sales

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new · Missing: mac, agents, macos
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users, calls · Missing: plus, platform, intuitive
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce, smart · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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