Reddit (RDDT): FY26 Q1 earnings call, Apr 30, 2026
On its Apr 30, 2026 earnings call (FY26 Q1), Reddit said 8 of the 13 words Kalshi listed; Parrot’s count agreed with all 13 settlements. Quotes below are at most 25 words each.
UpdatedMarkets
13 words · 8 settled yes · our count agreed on 13 of 13- Kalshi: company speakers + operator
Kalshi
backtest The probabilities on settled rows are a walk-forward backtest: the model as of before each event, computed after Parrot went live; they were not published at the time.
| Word | Result | Our count | All speakers | Agrees | Probability | Market |
|---|---|---|---|---|---|---|
| Traffic | Yes | 4 | 4 | ✓ | 89%n=2+tx from settlement history blended with transcripts | – |
| Machine Translation | Yes | 4 | 5 | ✓ | 88%n=2+tx from settlement history blended with transcripts | – |
| Reddit Pro | Yes | 2 | 2 | ✓ | 87%n=1+tx from settlement history blended with transcripts | – |
| Shopify | Yes | 2 | 2 | ✓ | 17%transcripts from the transcript model | – |
| Developer | Yes | 1 | 1 | ✓ | 74%n=1+tx from settlement history blended with transcripts | – |
| Algorithm | Yes | 1 | 2 | ✓ | 60%n=2+tx from settlement history blended with transcripts | – |
| Tailwind | Yes | 1 | 1 | ✓ | 48%transcripts from the transcript model | – |
| OpenAI / Open AI | Yes | 1 | 2 | ✓ | 47%n=2+tx from settlement history blended with transcripts | – |
| Smartly | No | 0 | 0 | ✓ | 61%n=2+tx from settlement history blended with transcripts | – |
| Game | No | 0 | 0 | ✓ | 55%n=2+tx from settlement history blended with transcripts | – |
| Headwind | No | 0 | 0 | ✓ | 30%transcripts from the transcript model | – |
| Emplifi | No | 0 | 0 | ✓ | 12%n=1+tx from settlement history blended with transcripts | – |
| TikTok | No | 0 | 0 | ✓ | 11%n=2+tx from settlement history blended with transcripts | – |
Market prices are mid quotes from Kalshi and Polymarket, shown for context, may be delayed by several minutes and are not a signal. Quotes as of Oct 20, 2026 15:46 UTC.
Transcript
quotes of at most 25 wordsSpeaker-labelled transcript · Source and credits · Used to count words; quotes of at most 25 words.
5 matches for “Machine Translation”; 5 quoted, at least 25 words apart.
…core user engagement, performance gains across the stack, and continued success with machine translation. Looking ahead to the remainder of 2026, our priorities include broadening…
…Carrying most of the weight the last couple of quarters has been machine translation. We're translated into 30 languages today. We've been able to lower…
…talk through how engagement has trended across markets that have undergone a machine translation, and if you've seen any notable shift in logging in adoption…
…Thanks, John. On international, what we've learned is every market is different. Machine translation is a great starting point for building the content base. For…
Things like the machine translation, the LLM-powered onboarding, all of the safety things, all of these things are kind of, you know, part of what…
Where the listed words were said
…we prioritize both paid and brand strategies to expand awareness and drive traffic. Total marketing costs in Q1 were in the mid-single digits as a…
…scale spend by 2.5 times year-over-year. We have seen growing adoption of Reddit Pro since expanding access to all publishers, giving them self-serve tools to…
…build an ecosystem of partners around Reddit. At Shoptalk in March, we announced an integration with Shopify that strengthens our retail and e-commerce partnership ecosystem.
We're porting those over to our developer platform, and that will both result in them being labeled on Reddit more transparently and also allow us…
Google algorithm change, these things are, business as usual for us. There are always puts and takes. We see these things. Sometimes they help, sometimes…
…tight management of our equity spend. For Q1, there was a slight tailwind for dilution for share repurchase activity, although share repurchase activity was modest…
…ecosystem we live in. We have important partnerships with both Google and OpenAI. Those are very meaningful to us. I think it's mutual. We continue…
Agents: this page as TSV at /api/v1/appearances/reddit:2026-04-30:earnings_call · words: /api/v1/brief?appearance=reddit:2026-04-30:earnings_call · columnar JSON in #parrot-data · llms.txt · MCP