Notion

p/notion

by

AI Interfaces of the Future (YC video w/ Rafael from Notion Calendar)

I really enjoyed this breakdown by @raphaelschaad and @aaron_epstein (YC partner):


They walk through some cutting edge AI apps:
@Vapi - voice api for devs
@Retell AI - build voice agents
@Gumloop - AI zapier
@AnswerGrid - outbound research
@Polymet - AI product designer
Zuni - ai in your chrome sidebar
and @Argil - video clone generation
They talk about some recurring themes:
- When prompts take a long time, give the user something engaging to do while they're waiting.
- Canvas is a powerful UX paradigm for understanding workflows. I appreciated Rafael's insight that zooming in / out can allow for understanding a complex workflow at multiple levels of fidelity.
- Voice interfaces - latency and interruptibility are the main factors in a good user experience.
- Discoverability / templates. The problem with LLM prompts is they're so open - I don't know what I can do with them. Have some easy templates at your users' fingertips as a starting point.
One big area I found missing is the subtleties of code assistants - In particular, I feel like the cutting edge of LLM interfaces is being explored by the likes of @Cursor , @Windsurf - and other code assistants that are being used in high-stakes production code.
The other reason code assistants are interesting to me is that it appears these products are winning based on the interface, not the underlying models (since those are fungible).
If you use Windsurf, Cursor, I'd love to hear what about the UX design feels new / superior.

5

General

p/general

by

How Much AI is Good Enough AI for a Product Hunt Launch?
AI is everywhere these days, but figuring out the sweet spot for using it in your launch strategy has been tricky. Benefits: First off, AI can do some pretty cool stuff for your launch: Market Research- It can dig through tons of data to spot trends and understand what people need. Targeting & Segmentation - AI can help you figure out who your ideal customers are and how to reach them. Personalization - Tailoring experiences to individual users can boost engagement big time. Automation - Be it email marketing, social media posts, or customer support AI can handle a lot of the repetitive stuff. Analytics - Get real-time insights to tweak your strategy on the fly. Must-Have AI Features Focus on these key AI capabilities: Predictive Analytics: Planning your launch with foresight. Customer Segmentation: Targeting the right groups. Content Personalization: Making users feel special. Chatbots: Offering 24/7 support. Sentiment Analysis: Monitoring social media vibes. Keep that Human Touch Balance AI with genuine human interactions: Human Oversight: Review AI s work. Authentic Engagement: Combine AI efficiency with personal responses. Customer Feedback: Use feedback to improve AI. Check these metrics: Engagement Rates: Are people interacting more? Conversion Rates: Is AI driving sales? Customer Satisfaction: Are users happy? ROI: Is AI worth the investment? Reality Check: Ofcourse, AI isn t a magic bullet: Cost vs. Benefit: Assess whether the benefits of AI justify the costs. Complexity: Integrating AI can be challenging and may require technical expertise. User Perception: Ensure AI-driven interactions enhance, not detract from, user experience. Ethical Considerations: Be mindful of AI biases and privacy concerns. AI tools you can use to launch your product on product hunt: - Pizi: (https://pizi.app/fr) - ReelGen: (https://www.reelgen.io) - 10015 toolbox: (https://10015.io) - MadMen AI: (https://usemadmen.ai) - Olvy: (https://olvy.co) - Fibery: (https://fibery.io) - Omi: (https://www.tryomi.com) - OTTO SEO: (https://searchatlas.com) - Echo: (https://echorsvp.com) - Featherless: (https://featherless.ai) - Claude: (https://claude.ai) What s been your experience with using AI in product launches? Any tips or lessons learned?

7