Wi

Wisp – Headless blog for Next.js 14

Hacker News

Wisp – Headless blog for Next.js 14

Just started on wispcms.com a week ago because the experience of adding a blog to your website sucks. Wisp takes fumbling with MDX, image upload and hosting away so you can focus on shipping! A little background.. Started wisp to solve my own pain of adding blogs to my different projects. The idea was to make the experience of adding and editing blog posts Medium-like while having full flexibility around things like design, SEO, etc. I've tried different CMS and many were too heavyweight for my "simple blog". On the other hand, markdown was annoying to deal with because I didn't like code changes to fix simple typos, or worse, colocating many images with code. Also, without a content middleware like contentlayer, simple things like pagination or sitemap becomes annoying to add. One of my worse experience, which I'm still paying dearly for was using gatsby to generate my personal blog. After a couple of years, the project fail to build entirely due to unsupported node version and newer versions of gatsby has different APIs. It was an annoying experience to rework the code to let the blog build again. It started with building an editor... and then image upload took me to add cloudflare image CDN... and then a small package to easily load the blogs... And then I thought about sharing it with the folks here and added multiple user accounts and teams! Let me know your honest feedback, there's plenty of kinks to be ironed out tbh but I really love to know if this has legs.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, using · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
63%63% 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: personal, way · Missing: mobile apps, ios, entrepreneurs
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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.

Incorrect prediction on native model

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