Hey Oliver

AppSumo

'Customers are all about Hey Oliver, praising its powerful live chat, detailed visitor tracking, and user segmentation capabilities. There are a few hiccups like occasional bugs and limitations in customization options, just small bumps on the road. Weighing the raves against the occasional grumbles, Hey Oliver is hitting the mark and is a solid buy for engaging visitors and converting leads with customized, automated marketing campaigns. With an overall rating of 4.6 and positive customer feedback, it's worth giving it a try, especially with the 60-day money-back guarantee.'

Visit product View on AppSumoFeb 10, 2020

Share card

Actual performance

165reviews

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

87%87% 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 · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: occasional, overall rating · Missing: plus, platform, intuitive

77%77% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

23%23% predicted probability of success on BetaList, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Hey, a live chat on any website55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hey, a live chat on any website

Hacker News6

Carrrotio45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Live chat, eCRM, visitor tracking, triggered messages

Indie Hackerscommitment-full-time

Lancepilot75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customers are all about Lancepilot, praising its effective WhatsApp marketing campaigns, seamless tracking, and user-friendly CRM tools. There are a few hiccups like occasional bugs and support responsiveness, just small bumps on the road.

AppSumo111

Teable69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

'Customers are all about Teable, praising its powerful database system, efficient AI capabilities, and seamless automation features. There are a few hiccups like rapid credit consumption and occasional AI errors, just small bumps on the road.

AppSumo81

Hey, I have made a demolab using JAMstack52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hey, I have made a demolab using JAMstack

Hacker News1

Hey PMs, let's give you a fighting chance!69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hey PMs, let's give you a fighting chance!

Hacker News4

TimeTuna57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

'Customers are all about TimeTuna, praising its visually appealing booking pages, real-time calendar sync, and customizable branding options. There are a few hiccups like minor bugs and limited custom URL options, just small bumps on the road.

AppSumo5

Hey, Community43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hey, Community

Hacker News4

CopyClipper64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customers are all about CopyClipper, praising its seamless text snippet management, AI-powered clipboard for instant access across devices, and intuitive UI. There are a few hiccups like occasional bugs and limited customization options, just small bumps on the road.

AppSumo11

Kernex46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

'Customers are all about Kernex, praising its user-friendly interface, value for money, and lightning-fast support. There are a few hiccups like the need for re-arranging fields and additional import/export options, just small bumps on the road.

AppSumo6

Browse all products Analyze your launch