Quikk AI – a faster alternative to great sales research

Hacker News

Hi HN community, I'm Ash, and I'm excited to share Quikk AI, a sales research tool designed to help salespeople conduct lightning-fast research when prospecting potential customers and using that research to craft a first email or meeting agenda. The link takes you to a live demo page that simulates Hubspot selling to potential customers. Try it out yourself! Here's some info about Quikk AI: Problem: In today's fast-paced sales environment, time is of the essence. Sales professionals often spend hours sifting through various sources like LinkedIn, ZoomInfo, company websites, and more to gather information about potential customers to qualify them. This process is not only time-consuming but also inefficient, often leading to lost opportunities and lesser commissions. Solution: We're aiming to simplify and accelerate the research process while maintaining quality. With a few inputs, we use a seller's company background and a prospect's company info to consolidate relevant sales information into a single, easy-to-digest format. Our tool automatically generates notes and formats them into popular sales templates and outputs. Key Features: One-Click Research: Get tailored, effective research outputs in a few seconds. Automated Notes: Receive pre-formatted notes that can be copied to your CRM or emails. Future Features: Integrations to CRMs, email services, sales tools, etc. to reduce typing and copy/paste of outputs. Our Journey: Quikk AI was born out of the frustration with traditional sales research methods. There were plenty of tools to find prospects and automate emails, but few good ones to actually qualify prospects using research. After months of development and testing, we launched a private beta with a select group of users, receiving valuable feedback that shaped our product. Today, we’re excited to open Quikk AI to the HN community and invite you to try it in the link in the post. We believe Quikk AI can revolutionize the way salespeople approach prospecting, making it faster, smarter, and more efficient. We’d love to hear your thoughts and feedback as we continue to improve and evolve our tool. Thank you for checking out Quikk AI! Ash & the Quikk AI Team

Visit product View on Hacker NewsJul 17, 2024

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

97%97% 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, email, single · Missing: mac, agents, macos

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AppSumoMay struggle as an AppSumo deal · Strong signals: efficient, users · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, io · Missing: https docs, just released, exist

40%40% 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: month, users, way · Missing: mobile apps, ios, personal

29%29% 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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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