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Inkline – An(other) AI powered document editor

Hacker News

Inkline – An(other) AI powered document editor

Hi HN , I've built an AI-powered document editor that helps you write and think clearly. Picture Google Docs, but with the capability to engage in conversations with AI across individual or multiple documents simultaneously, generating new content based on a shared context. This app began as a personal-project fueled by my own interest in exploring AI. I built this to solve a problem that I've often encountered, and which (at least at the point when I started) didn't seem like any tool I tried solved to my liking. Writing helps me think clearly. It calms and focuses my brain. However, I often struggle with keeping my notes organized, finding them scattered across various mediums—be it online or offline. Think thoughts scribbled in random notebooks; ideas jotted on the back of receipts; so many google docs with half baked notions and inklings and nothingness. That's why I built Inkline. Its minimalist design helps you focus when writing. Its AI assistant helps you write drafts, edit, and get creative (ask it about recipes at your own risk though). You can aggregate information by connecting documents together, so the AI can answer questions about content in any connected document. If you're on a higher paid plan, you can transcribe your notes through audio recording, and can even have a lovely British guy called Matthew read back what you wrote - because most things sound smarter in British. Overall, this tool has helped me stay more organized, and has led me to enjoy writing again. Early feedback has been encouraging, and I'm excited to share this with more people. So I'm setting this little AI project out to sail into the very red ocean of AI tools. Your feedback is appreciated. Note: No Artificial Intelligence was used in the writing of this post. Just some below-average human intelligence, that probably could have benefitted from some help from AI. .... if only there was a tool for that...

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2points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, context · Missing: mac, agents, macos
87%87% 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
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, google · Missing: mobile apps, ios, entrepreneurs
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist
43%43% 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 · Missing: plus, platform, intuitive
38%38% 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
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid, audio, smart · 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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