Free lifetime pro subscriptions for Sizle.io (sales presentation tool)

Hacker News

Hey all, I built a piece of software (browser-based sales presentation tool) called Sizle.io last year as a hobby that turned into a full-time thing, it's still quite new having only been around for about a year, but I'm hoping that it might be useful to someone here. Because of what's going on with this pandemic and how many people are losing their gigs, I'm giving lifetime Pro subscriptions for $0. Pro subscriptions are usually $10/mo or $84/year. If you want to take this up, just log in at http://sizle.io/ and enter either of these codes to get Pro for free forever (I am already doing this discount for the education sector, hence the promo code names lol). EDUPRO100 (Free ongoing monthly license) EDUANNUAL100 (Free annual license) I know it's not much but I hope this helps at least someone during this crazy time regardless If you don't want to have to use a promo code, just email me at jeremy@sizle.io and I’ll manually switch your account from Free to Pro Disclosure: It's just me and my partner that run this app, the software isn't perfect but we truly just want to help people out during this weird time. If this helps someone land another client or close one deal then we'll be stoked.

Visit product View on Hacker NewsApr 16, 2020

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Product HuntUnlikely to reach the leaderboard · Strong signals: new, email, code · Missing: mac, agents, macos

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AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

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

TrustMRRLess likely to generate early MRR · Strong signals: month, monthly, education · Missing: mobile apps, ios, personal

33%33% 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

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

Correct prediction on native model

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