😸 Podcast bros will love this

gm legends, happy Tuesday.

Here’s today’s lineup: Ghost is a fast, Figma-style slide editor that gives you an editable first pass so you can nudge and ship; Copilot Audio Expressions turns a pasted script into a clean voice read with styles you can tweak; Bhava takes plain text and spits out a tidy diagram you can edit and export.

P.S. Building something new? Tell us about it → editorial@producthunt.co 🫶

Ghost is a fast, Figma-style slide editor. Type what you need and it gives you a first pass that stays fully editable. Drag stuff around, swap layouts, tweak styles, and collaborate in real time. Export to Keynote, PowerPoint, or the web when you’re done.

🔥 Our Take: Slide tools love burning hours on formatting. I want the idea on canvas, then five minutes of nudging boxes. This kind of nails that flow. You sketch the outline, it lays it out, and you push it a little here and there until it looks how you want. The killer idea here is the speed of Figma but for decks. 

Copilot Audio Expressions turns your text into a clean voice read. Paste a script, pick a voice, choose a style, tweak pacing, then export. It lives in Copilot Labs, so knocking out a podcast intro, product update, or blog readout takes minutes.

🔥 Our Take: When I think quick voice work, I think ElevenLabs. Microsoft bringing voice to Copilot is both welcome and overdue. I paste a paragraph, nudge delivery, and get a take I would actually publish without begging a friend to record. Expect more teams to add “read it to me” by default because this removes the mic drama.

Bhava turns plain text into real diagrams. Write what happens and it spits out an editable flowchart, architecture map, swimlane, UML, or ERD. It drops in the right cloud icons, keeps lines straight, and exports without fuss.

🔥 Our Take: I am not a designer. I just want to show “request hits API, job goes on a queue, worker writes to S3” without spending an hour babysitting arrows. Typing the steps and getting a clean map is the move for this.

Nika asks: how much would you actually pay an influencer to push your product?

She sets the scene: differentiation is hard, so founders are testing support, founder brands, and paid creators. She drops a follower-based rate card and asks for real numbers and real structures: one-off vs long-term, flat fee vs affiliate, which networks and formats you used, and most important what it delivered with follower counts attached. Got receipts or a cautionary tale?