I recreated my SaaS that took me 6 months to build in just 1 week

Hacker News

Hello all, In late Feb I launched my first SaaS Leansence. It was quite comprehensive when it came to features. It was an end-to-end digital presence platform. From social media automation tools, to blogging CMS, to website builders. However, I quickly realized I was trying to target a very broad range of users and I just couldn't maintain all these features in the long term, not to mention I didn't have any users. My apps main unique selling point was the cross posting feature that drove me to build Leansence. Eventually after about 2 months of marketing, I decided to strip away 80% of the features in a weeks time and the result was my new SaaS Wildfire. I already have over 10 free and one paying user and its just little over a month since launch. It's lighter, faster and simpler and free to get started, no credit card required. With Wildfire, you can easily increase your blog views by cross posting your blog to Hashnode, Medium, DEV, Reddit and Twitter. With Wildfire, you can import your blogs using RSS feeds, markdown, html files or even by posting a link of your Hashnode and DEV blog, after which in just 2-3 clicks you can cross post it to 5 platforms. AI content generation is in the works right now. Any feedback would be appreciated.

Visit product View on Hacker NewsJun 9, 2022

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Did not reach leaderboard

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, new · Missing: mac, agents, macos

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49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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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